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ORCIDMuhammad Shafique 0001
Muhammed Shafique 0001
Person information
- affiliation: New York University Abu Dhabi, UAE
- affiliation (former): TU Wien, Vienna, Austria
- affiliation (former): Karlsruhe Institute of Technology, Germany
Other persons with the same name
- Muhammad Shafique — disambiguation page
- Muhammad Shafique 0002 — King Fahd University of Petroleum and Minerals, Information and Computer Science Department
- Muhammad Shafique 0003 — University of Waterloo, Canada
- Muhammad Shafique 0004 — Carleton University, Ottawa, Canada
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2020 – today
- 2025
[i166]Meet Udeshi, Minghao Shao, Haoran Xi, Nanda Rani, Kimberly Milner, Venkata Sai Charan Putrevu, Brendan Dolan-Gavitt, Sandeep Kumar Shukla, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Muhammad Shafique:
D-CIPHER: Dynamic Collaborative Intelligent Agents with Planning and Heterogeneous Execution for Enhanced Reasoning in Offensive Security. CoRR abs/2502.10931 (2025)- 2024
- [j126]Amira Guesmi
, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique:
SAAM: Stealthy Adversarial Attack on Monocular Depth Estimation. IEEE Access 12: 13571-13585 (2024) - [j125]Neha A S, Vivek Chaturvedi, Muhammad Shafique:
FRNet: A Feature-Rich CNN Architecture to Defend Against Adversarial Attacks. IEEE Access 12: 26943-26956 (2024) - [j124]Abolfazl Younesi, Mohsen Ansari, MohammadAmin Fazli, Alireza Ejlali, Muhammad Shafique, Jörg Henkel:
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends. IEEE Access 12: 41180-41218 (2024) - [j123]Amin Kargar-Barzi, Ebrahim Farahmand, Nooshin Taheri-Chatrudi, Ali Mahani, Muhammad Shafique:
An Edge-Based WiFi Fingerprinting Indoor Localization Using Convolutional Neural Network and Convolutional Auto-Encoder. IEEE Access 12: 85050-85060 (2024) - [j122]Alireza Senobari, Jafar Vafaei, Omid Akbari, Christian Hochberger, Muhammad Shafique:
A Quality-Aware Voltage Overscaling Framework to Improve the Energy Efficiency and Lifetime of TPUs Based on Statistical Error Modeling. IEEE Access 12: 92181-92197 (2024) - [j121]Abolfazl Younesi, Mohsen Ansari, MohammadAmin Fazli, Alireza Ejlali, Muhammad Shafique, Jörg Henkel:
Corrections to "A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends". IEEE Access 12: 112180 (2024) - [j120]Fatemeh Hossein Khani, Omid Akbari, Muhammad Shafique:
A Two-Level Thermal Cycling-Aware Task Mapping Technique for Reliability Management in Manycore Systems. IEEE Access 12: 113406-113421 (2024) - [j119]Minghao Shao, Abdul Basit, Ramesh Karri, Muhammad Shafique:
Survey of Different Large Language Model Architectures: Trends, Benchmarks, and Challenges. IEEE Access 12: 188664-188706 (2024) - [j118]Mahum Naseer, Bharath Srinivas Prabakaran, Osman Hasan, Muhammad Shafique:
UnbiasedNets: a dataset diversification framework for robustness bias alleviation in neural networks. Mach. Learn. 113(5): 2499-2526 (2024) - [j117]Yue Wang, Wenqing Li, Esha Sarkar, Muhammad Shafique, Michail Maniatakos, Saif Eddin Jabari:
A Subspace Projective Clustering Approach for Backdoor Attack Detection and Mitigation in Deep Neural Networks. IEEE Trans. Artif. Intell. 5(7): 3497-3509 (2024) - [j116]Muhammad Abdullah Hanif, Ayoub Arous, Muhammad Shafique:
DREAMx: A Data-Driven Error Estimation Methodology for Adders Composed of Cascaded Approximate Units. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(11): 3348-3357 (2024) - [c277]Amira Guesmi, Ruitian Ding, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique:
DAP: A Dynamic Adversarial Patch for Evading Person Detectors. CVPR 2024: 24595-24604 - [c276]Nandish Chattopadhyay, Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique:
Defending against Adversarial Patches using Dimensionality Reduction. DAC 2024: 222:1-222:6 - [c275]T. P. Abdul Rahoof, Vivek Chaturvedi, Mahesh Raveendranatha Panicker, Muhammad Shafique:
Tiny- VBF: Resource-Efficient Vision Transformer based Lightweight Beamformer for Ultrasound Single-Angle Plane Wave Imaging. DATE 2024: 1-6 - [c274]Shuaihang Yuan, Muhammad Shafique, Mohamed Riyadh Baghdadi, Farshad Khorrami, Anthony Tzes, Yi Fang:
Zero-shot Object Navigation with Vision-Language Foundation Models Reasoning. ICARA 2024: 501-505 - [c273]Iqra Bano, Rachmad Vidya Wicaksana Putra, Alberto Marchisio, Muhammad Shafique:
FastSpiker: Enabling Fast Training for Spiking Neural Networks on Event-based Data Through Learning Rate Enhancements for Autonomous Embedded Systems. ICARCV 2024: 428-434 - [c272]Maha Nawaz, Abdul Basit, Muhammad Shafique:
MindArm: Mechanized Intelligent Non-Invasive Neuro-Driven Prosthetic Arm System. ICARCV 2024: 586-593 - [c271]Rachmad Vidya Wicaksana Putra, Alberto Marchisio, Fakhreddine Zayer, Jorge Dias, Muhammad Shafique:
Embodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack. ICARCV 2024: 612-619 - [c270]Abdul Basit, Khizar Hussain, Muhammad Abdullah Hanif, Muhammad Shafique:
RoboMed: On-Premise Medical Assistance Leveraging Large Language Models in Robotics. ICARCV 2024: 710-717 - [c269]Iqra Bano, Rachmad Vidya Wicaksana Putra, Alberto Marchisio, Muhammad Shafique:
A Methodology to Study the Impact of Spiking Neural Network Parameters Considering Event-Based Automotive Data. ICARCV 2024: 897-903 - [c268]Niraj Pudasaini, Muhammad Abdullah Hanif, Muhammad Shafique:
SPAQ-DL-SLAM: Towards Optimizing Deep Learning-Based SLAM for Resource-Constrained Embedded Platforms. ICARCV 2024: 972-978 - [c267]Abdul Basit, Muhammad Shafique:
tinyDigiClones: A Multi-Modal LLM-Based Framework for Edge-optimized Personalized Avatars. IJCNN 2024: 1-9 - [c266]Sushil Bohara, Muhammad Abdullah Hanif, Muhammad Shafique:
CuriousRL: Curiosity-Driven Reinforcement Learning for Adaptive Locomotion in Quadruped Robots. IJCNN 2024: 1-8 - [c265]Nouhaila Innan, Muhammad Al-Zafar Khan, Alberto Marchisio, Muhammad Shafique, Mohamed Bennai:
FedQNN: Federated Learning using Quantum Neural Networks. IJCNN 2024: 1-9 - [c264]Muhammad Kashif, Emman Sychiuco, Muhammad Shafique:
Investigating the Effect of Noise on the Training Performance of Hybrid Quantum Neural Networks. IJCNN 2024: 1-10 - [c263]Erik Ostrowski, Bharath Srinivas Prabakaran, Muhammad Shafique:
A Novel Weakly Supervised Semantic Segmentation Ensemble Framework for Medical Imaging. IJCNN 2024: 1-10 - [c262]Neha A S, Vivek Chaturvedi, Muhammad Shafique:
S-E Pipeline: A Vision Transformer (ViT) based Resilient Classification Pipeline for Medical Imaging Against Adversarial Attacks. IJCNN 2024: 1-8 - [c261]Mahya Morid Ahmadi, Lilas Alrahis, Ozgur Sinanoglu, Muhammad Shafique:
Camo-DNN: Layer Camouflaging to Protect DNNs against Timing Side-Channel Attacks. IOLTS 2024: 1-7 - [c260]Alessio Colucci, Andreas Steininger, Muhammad Shafique:
SBanTEM: A Novel Methodology for Sparse Band Tensors as Soft-Error Mitigation in Sparse Convolutional Neural Networks. IOLTS 2024: 1-3 - [c259]Alessio Colucci, Andreas Steininger, Muhammad Shafique:
EISFINN: On the Role of Efficient Importance Sampling in Fault Injection Campaigns for Neural Network Robustness Analysis. IOLTS 2024: 1-3 - [c258]Muhammad Zaeem Shahzad, Muhammad Abdullah Hanif, Muhammad Shafique:
DECADE: Towards Designing Efficient-yet-Accurate Distance Estimation Modules for Collision Avoidance in Mobile Advanced Driver Assistance Systems. IROS 2024: 334-340 - [c257]Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani, Bassem Ouni, Muhammad Shafique:
SSAP: A Shape-Sensitive Adversarial Patch for Comprehensive Disruption of Monocular Depth Estimation in Autonomous Navigation Applications. IROS 2024: 2786-2793 - [c256]Minghao Shao, Sofija Jancheska, Meet Udeshi, Brendan Dolan-Gavitt, Haoran Xi, Kimberly Milner, Boyuan Chen, Max Yin, Siddharth Garg, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Muhammad Shafique:
NYU CTF Bench: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security. NeurIPS 2024 - [c255]Walid El Maouaki, Nouhaila Innan, Alberto Marchisio, Taoufik Said, Mohamed Bennai, Muhammad Shafique:
Quantum Clustering for Cybersecurity. QCE 2024: 5-10 - [c254]Siddhant Dutta, Nouhaila Innan, Alberto Marchisio, Sadok Ben Yahia, Muhammad Shafique:
QADQN: Quantum Attention Deep Q-Network for Financial Market Prediction. QCE 2024: 341-346 - [c253]Kamila Zaman, Alberto Marchisio, Muhammad Kashif, Muhammad Shafique:
PO-QA: A Framework for Portfolio Optimization using Quantum Algorithms. QCE 2024: 1397-1403 - [c252]Walid El Maouaki, Alberto Marchisio, Taoufik Said, Mohamed Bennai, Muhammad Shafique:
AdvQuNN: A Methodology for Analyzing the Adversarial Robustness of Quanvolutional Neural Networks. QSW 2024: 175-181 - [i165]Nandish Chattopadhyay, Amira Guesmi, Muhammad Shafique:
Anomaly Unveiled: Securing Image Classification against Adversarial Patch Attacks. CoRR abs/2402.06249 (2024) - [i164]Muhammad Kashif, Muhammad Shafique:
ResQuNNs: Towards Enabling Deep Learning in Quantum Convolution Neural Networks. CoRR abs/2402.09146 (2024) - [i163]Eugenio Ressa, Alberto Marchisio, Maurizio Martina, Guido Masera, Muhammad Shafique:
TinyCL: An Efficient Hardware Architecture for Continual Learning on Autonomous Systems. CoRR abs/2402.09780 (2024) - [i162]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
SpikeNAS: A Fast Memory-Aware Neural Architecture Search Framework for Spiking Neural Network Systems. CoRR abs/2402.11322 (2024) - [i161]Minghao Shao, Boyuan Chen, Sofija Jancheska, Brendan Dolan-Gavitt, Siddharth Garg, Ramesh Karri, Muhammad Shafique:
An Empirical Evaluation of LLMs for Solving Offensive Security Challenges. CoRR abs/2402.11814 (2024) - [i160]Abolfazl Younesi, Mohsen Ansari, MohammadAmin Fazli, Alireza Ejlali, Muhammad Shafique, Jörg Henkel:
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends. CoRR abs/2402.15490 (2024) - [i159]Abdul Basit, Khizar Hussain, Muhammad Abdullah Hanif, Muhammad Shafique:
MedAide: Leveraging Large Language Models for On-Premise Medical Assistance on Edge Devices. CoRR abs/2403.00830 (2024) - [i158]Erik Ostrowski, Muhammad Shafique:
Embedded Deployment of Semantic Segmentation in Medicine through Low-Resolution Inputs. CoRR abs/2403.05340 (2024) - [i157]Fatemeh Hossein Khani, Omid Akbari, Muhammad Shafique:
A Two-Level Thermal Cycling-aware Task Mapping Technique for Reliability Management in Manycore Systems. CoRR abs/2403.06134 (2024) - [i156]Nouhaila Innan, Muhammad Al-Zafar Khan, Alberto Marchisio, Muhammad Shafique, Mohamed Bennai:
FedQNN: Federated Learning using Quantum Neural Networks. CoRR abs/2403.10861 (2024) - [i155]Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani, Bassem Ouni, Muhammad Shafique:
SSAP: A Shape-Sensitive Adversarial Patch for Comprehensive Disruption of Monocular Depth Estimation in Autonomous Navigation Applications. CoRR abs/2403.11515 (2024) - [i154]Maha Nawaz, Abdul Basit, Muhammad Shafique:
MindArm: Mechanized Intelligent Non-Invasive Neuro-Driven Prosthetic Arm System. CoRR abs/2403.19992 (2024) - [i153]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
A Methodology for Improving Accuracy of Embedded Spiking Neural Networks through Kernel Size Scaling. CoRR abs/2404.01685 (2024) - [i152]Nouhaila Innan, Alberto Marchisio, Muhammad Shafique, Mohamed Bennai:
QFNN-FFD: Quantum Federated Neural Network for Financial Fraud Detection. CoRR abs/2404.02595 (2024) - [i151]Rachmad Vidya Wicaksana Putra, Alberto Marchisio, Fakhreddine Zayer, Jorge Dias, Muhammad Shafique:
Embodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack. CoRR abs/2404.03325 (2024) - [i150]Iqra Bano, Rachmad Vidya Wicaksana Putra, Alberto Marchisio, Muhammad Shafique:
A Methodology to Study the Impact of Spiking Neural Network Parameters considering Event-Based Automotive Data. CoRR abs/2404.03493 (2024) - [i149]Rachmad Vidya Wicaksana Putra, Alberto Marchisio, Muhammad Shafique:
SNN4Agents: A Framework for Developing Energy-Efficient Embodied Spiking Neural Networks for Autonomous Agents. CoRR abs/2404.09331 (2024) - [i148]Nishant Suresh Aswani, Amira Guesmi, Muhammad Abdullah Hanif, Muhammad Shafique:
Examining Changes in Internal Representations of Continual Learning Models Through Tensor Decomposition. CoRR abs/2405.03244 (2024) - [i147]Amira Guesmi, Nishant Suresh Aswani, Muhammad Shafique:
Exploring the Interplay of Interpretability and Robustness in Deep Neural Networks: A Saliency-guided Approach. CoRR abs/2405.06278 (2024) - [i146]Boyuan Chen, Mingzhi Zhu, Brendan Dolan-Gavitt, Muhammad Shafique, Siddharth Garg:
Model Cascading for Code: Reducing Inference Costs with Model Cascading for LLM Based Code Generation. CoRR abs/2405.15842 (2024) - [i145]Minghao Shao, Sofija Jancheska, Meet Udeshi, Brendan Dolan-Gavitt, Haoran Xi, Kimberly Milner, Boyuan Chen, Max Yin, Siddharth Garg, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Muhammad Shafique:
NYU CTF Dataset: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security. CoRR abs/2406.05590 (2024) - [i144]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
HASNAS: A Hardware-Aware Spiking Neural Architecture Search Framework for Neuromorphic Compute-in-Memory Systems. CoRR abs/2407.00641 (2024) - [i143]Muhammad Zaeem Shahzad, Muhammad Abdullah Hanif, Muhammad Shafique:
Robust ADAS: Enhancing Robustness of Machine Learning-based Advanced Driver Assistance Systems for Adverse Weather. CoRR abs/2407.02581 (2024) - [i142]Iqra Bano, Rachmad Vidya Wicaksana Putra, Alberto Marchisio, Muhammad Shafique:
FastSpiker: Enabling Fast Training for Spiking Neural Networks on Event-based Data through Learning Rate Enhancements for Autonomous Embedded Systems. CoRR abs/2407.05262 (2024) - [i141]Alireza Senobari, Jafar Vafaei, Omid Akbari, Christian Hochberger, Muhammad Shafique:
A Quality-Aware Voltage Overscaling Framework to Improve the Energy Efficiency and Lifetime of TPUs based on Statistical Error Modeling. CoRR abs/2407.12029 (2024) - [i140]Neha A S, Vivek Chaturvedi, Muhammad Shafique:
S-E Pipeline: A Vision Transformer (ViT) based Resilient Classification Pipeline for Medical Imaging Against Adversarial Attacks. CoRR abs/2407.17587 (2024) - [i139]Walid El Maouaki, Nouhaila Innan, Alberto Marchisio, Taoufik Said, Mohamed Bennai, Muhammad Shafique:
Quantum Clustering for Cybersecurity. CoRR abs/2408.02314 (2024) - [i138]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
PENDRAM: Enabling High-Performance and Energy-Efficient Processing of Deep Neural Networks through a Generalized DRAM Data Mapping Policy. CoRR abs/2408.02412 (2024) - [i137]Siddhant Dutta, Nouhaila Innan, Alberto Marchisio, Sadok Ben Yahia, Muhammad Shafique:
QADQN: Quantum Attention Deep Q-Network for Financial Market Prediction. CoRR abs/2408.03088 (2024) - [i136]Nishant Suresh Aswani, Saif Eddin Jabari, Muhammad Shafique:
Representing Neural Network Layers as Linear Operations via Koopman Operator Theory. CoRR abs/2409.01308 (2024) - [i135]Siddhant Dutta, Nouhaila Innan, Sadok Ben Yahia, Muhammad Shafique:
AQ-PINNs: Attention-Enhanced Quantum Physics-Informed Neural Networks for Carbon-Efficient Climate Modeling. CoRR abs/2409.01626 (2024) - [i134]Siddhant Dutta, Pavana P. Karanth, Pedro Maciel Xavier, Iago Leal de Freitas, Nouhaila Innan, Sadok Ben Yahia, Muhammad Shafique, David E. Bernal Neira:
Federated Learning with Quantum Computing and Fully Homomorphic Encryption: A Novel Computing Paradigm Shift in Privacy-Preserving ML. CoRR abs/2409.11430 (2024) - [i133]Aya El Mir, Lukelo Thadei Luoga, Boyuan Chen, Muhammad Abdullah Hanif, Muhammad Shafique:
Democratizing MLLMs in Healthcare: TinyLLaVA-Med for Efficient Healthcare Diagnostics in Resource-Constrained Settings. CoRR abs/2409.12184 (2024) - [i132]Niraj Pudasaini, Muhammad Abdullah Hanif, Muhammad Shafique:
SPAQ-DL-SLAM: Towards Optimizing Deep Learning-based SLAM for Resource-Constrained Embedded Platforms. CoRR abs/2409.14515 (2024) - [i131]Talor Abramovich, Meet Udeshi, Minghao Shao, Kilian Lieret, Haoran Xi, Kimberly Milner, Sofija Jancheska, John Yang, Carlos E. Jimenez, Farshad Khorrami, Prashanth Krishnamurthy, Brendan Dolan-Gavitt, Muhammad Shafique, Karthik Narasimhan, Ramesh Karri, Ofir Press:
EnIGMA: Enhanced Interactive Generative Model Agent for CTF Challenges. CoRR abs/2409.16165 (2024) - [i130]Amira Guesmi, Muhammad Shafique:
Navigating Threats: A Survey of Physical Adversarial Attacks on LiDAR Perception Systems in Autonomous Vehicles. CoRR abs/2409.20426 (2024) - [i129]Mishal Fatima Minhas, Rachmad Vidya Wicaksana Putra, Falah Awwad, Osman Hasan, Muhammad Shafique:
Continual Learning with Neuromorphic Computing: Theories, Methods, and Applications. CoRR abs/2410.09218 (2024) - [i128]Muhammad Zaeem Shahzad, Muhammad Abdullah Hanif, Muhammad Shafique:
DECADE: Towards Designing Efficient-yet-Accurate Distance Estimation Modules for Collision Avoidance in Mobile Advanced Driver Assistance Systems. CoRR abs/2410.19336 (2024) - [i127]Amira Guesmi, Bassem Ouni, Muhammad Shafique:
Exploring the Robustness and Transferability of Patch-Based Adversarial Attacks in Quantized Neural Networks. CoRR abs/2411.15246 (2024) - [i126]Siddhant Dutta, Nouhaila Innan, Sadok Ben Yahia, Muhammad Shafique, David Esteban Bernal Neira:
MQFL-FHE: Multimodal Quantum Federated Learning Framework with Fully Homomorphic Encryption. CoRR abs/2412.01858 (2024) - [i125]Nouhaila Innan, Alberto Marchisio, Muhammad Shafique:
FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks. CoRR abs/2412.02293 (2024) - [i124]Nouhaila Innan, Alberto Marchisio, Mohamed Bennai, Muhammad Shafique:
LEP-QNN: Loan Eligibility Prediction Using Quantum Neural Networks. CoRR abs/2412.03158 (2024) - [i123]Minghao Shao, Abdul Basit, Ramesh Karri, Muhammad Shafique:
Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges. CoRR abs/2412.03220 (2024) - [i122]Alberto Marchisio, Emman Sychiuco, Muhammad Kashif, Muhammad Shafique:
Cutting is All You Need: Execution of Large-Scale Quantum Neural Networks on Limited-Qubit Devices. CoRR abs/2412.04844 (2024) - [i121]Avaneesh Devkota, Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents. CoRR abs/2412.04847 (2024) - [i120]Abolfazl Younesi, Mohsen Ansari, Alireza Ejlali, MohammadAmin Fazli, Muhammad Shafique, Jörg Henkel:
GAP: Game Theory-Based Approach for Reliability and Power Management in Emerging Fog Computing. CoRR abs/2412.11310 (2024) - [i119]Mansour El Alami, Nouhaila Innan, Muhammad Shafique, Mohamed Bennai:
Comparative Performance Analysis of Quantum Machine Learning Architectures for Credit Card Fraud Detection. CoRR abs/2412.19441 (2024) - 2023
- [j115]Bharath Srinivas Prabakaran, Paul Hamelmann, Erik Ostrowski, Muhammad Shafique:
FPUS23: An Ultrasound Fetus Phantom Dataset With Deep Neural Network Evaluations for Fetus Orientations, Fetal Planes, and Anatomical Features. IEEE Access 11: 58308-58317 (2023) - [j114]Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique:
Physical Adversarial Attacks for Camera-Based Smart Systems: Current Trends, Categorization, Applications, Research Challenges, and Future Outlook. IEEE Access 11: 109617-109668 (2023) - [j113]Farzad Nikfam, Raffaele Casaburi, Alberto Marchisio, Maurizio Martina, Muhammad Shafique:
A Homomorphic Encryption Framework for Privacy-Preserving Spiking Neural Networks. Inf. 14(10): 537 (2023) - [j112]Muhammad Abdullah Hanif, Rehan Hafiz, Muhammad Shafique:
DAEM: A Data- and Application-Aware Error Analysis Methodology for Approximate Adders. Inf. 14(10): 570 (2023) - [j111]Amira Guesmi, Muhammad Abdullah Hanif, Muhammad Shafique:
AdvRain: Adversarial Raindrops to Attack Camera-Based Smart Vision Systems. Inf. 14(12): 634 (2023) - [j110]Roozbeh Siyadatzadeh, Fatemeh Mehrafrooz, Mohsen Ansari, Bardia Safaei, Muhammad Shafique, Jörg Henkel, Alireza Ejlali:
ReLIEF: A Reinforcement-Learning-Based Real-Time Task Assignment Strategy in Emerging Fault-Tolerant Fog Computing. IEEE Internet Things J. 10(12): 10752-10763 (2023) - [j109]Alberto Marchisio, Giorgio Nanfa, Faiq Khalid, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique:
SeVuc: A study on the Security Vulnerabilities of Capsule Networks against adversarial attacks. Microprocess. Microsystems 96: 104738 (2023) - [j108]Alberto Marchisio, Federico Teodonio, Antonello Rizzi, Muhammad Shafique:
ISMatch: A real-time hardware accelerator for inexact string matching of DNA sequences on FPGA. Microprocess. Microsystems 97: 104763 (2023) - [j107]Lilas Alrahis, Satwik Patnaik, Muhammad Abdullah Hanif, Muhammad Shafique, Ozgur Sinanoglu:
$\tt{PoisonedGNN}$: Backdoor Attack on Graph Neural Networks-Based Hardware Security Systems. IEEE Trans. Computers 72(10): 2822-2834 (2023) - [j106]Sayandip De, Muhammad Shafique, Henk Corporaal:
Delay Prediction for ASIC HLS: Comparing Graph-Based and Nongraph-Based Learning Models. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(4): 1133-1146 (2023) - [j105]Akshara Ravi, Vivek Chaturvedi, Muhammad Shafique:
ViT4Mal: Lightweight Vision Transformer for Malware Detection on Edge Devices. ACM Trans. Embed. Comput. Syst. 22(5s): 117:1-117:26 (2023) - [j104]Ebrahim Farahmand, Ali Mahani, Muhammad Abdullah Hanif, Muhammad Shafique:
Design and Analysis of High Performance Heterogeneous Block-based Approximate Adders. ACM Trans. Embed. Comput. Syst. 22(6): 106:1-106:32 (2023) - [j103]Ali Akbar Bahoo, Omid Akbari, Muhammad Shafique:
An Energy-Efficient Generic Accuracy Configurable Multiplier Based on Block-Level Voltage Overscaling. IEEE Trans. Emerg. Top. Comput. 11(4): 851-867 (2023) - [j102]Mahum Naseer, Osman Hasan, Muhammad Shafique:
QuanDA: GPU Accelerated Quantitative Deep Neural Network Analysis. ACM Trans. Design Autom. Electr. Syst. 28(6): 95:1-95:21 (2023) - [j101]Jafar Vafaei, Omid Akbari, Muhammad Shafique, Christian Hochberger:
X-Rel: Energy-Efficient and Low-Overhead Approximate Reliability Framework for Error-Tolerant Applications Deployed in Critical Systems. IEEE Trans. Very Large Scale Integr. Syst. 31(7): 1051-1064 (2023) - [c251]Mahum Naseer, Osman Hasan, Muhammad Shafique:
Scaling Model Checking for Neural Network Analysis via State-Space Reduction and Input Segmentation. FoMLAS@CAV 2023: 6-28 - [c250]Wenqing Li, Yue Wang, Muhammad Shafique, Saif Eddin Jabari:
Physical Backdoor Trigger Activation of Autonomous Vehicle Using Reachability Analysis. CDC 2023: 821-826 - [c249]Mohammad Abdullah Al Faruque, Muhammad Shafique:
Message from the Program Chair. CODES+ISSS 2023: viii - [c248]Muhammad Shafique:
Emerging Trends in Multi-Accelerator and Distributed System for ML: Devices, Architectures, Tools and Applications. DAC 2023: 1-2 - [c247]Muhammad Abdullah Hanif, Muhammad Shafique:
Reduce: A Framework for Reducing the Overheads of Fault-Aware Retraining. DATE 2023: 1-2 - [c246]Jorge Castro-Godínez, Muhammad Abdullah Hanif, Muhammad Shafique:
Cross-Layer Approximations for System-Level Optimizations: Challenges and Opportunities. DSN-W 2023: 163-166 - [c245]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
Mantis: Enabling Energy-Efficient Autonomous Mobile Agents with Spiking Neural Networks. ICARA 2023: 197-201 - [c244]Bharath Srinivas Prabakaran, Vojtech Mrazek, Zdenek Vasícek, Lukás Sekanina, Muhammad Shafique:
Xel-FPGAs: An End-to-End Automated Exploration Framework for Approximate Accelerators in FPGA-Based Systems. ICCAD 2023: 1-9 - [c243]Mahum Naseer, Muhammad Shafique:
Poster: Link between Bias, Node Sensitivity and Long-Tail Distribution in trained DNNs. ICST 2023: 474-477 - [c242]Ayoub Arous, Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique:
Exploring Machine Learning Privacy/Utility Trade-Off from a Hyperparameters Lens. IJCNN 2023: 1-10 - [c241]Muhammad Abdullah Hanif, Muhammad Shafique:
FAQ: Mitigating the Impact of Faults in the Weight Memory of DNN Accelerators through Fault-Aware Quantization. IJCNN 2023: 1-8 - [c240]Alberto Marchisio, Davide Dura, Maurizio Capra, Maurizio Martina, Guido Masera, Muhammad Shafique:
SwiftTron: An Efficient Hardware Accelerator for Quantized Transformers. IJCNN 2023: 1-9 - [c239]Alberto Marchisio, Antonio De Marco, Alessio Colucci, Maurizio Martina, Muhammad Shafique:
RobCaps: Evaluating the Robustness of Capsule Networks against Affine Transformations and Adversarial Attacks. IJCNN 2023: 1-9 - [c238]Erik Ostrowski, Bharath Srinivas Prabakaran, Muhammad Shafique:
SILOP: An Automated Framework for Semantic Segmentation Using Image Labels Based on Object Perimeters. IJCNN 2023: 1-9 - [c237]T. P. Abdul Rahoof, Vivek Chaturvedi, Muhammad Shafique:
FastCaps: A Design Methodology for Accelerating Capsule Network on Field Programmable Gate Arrays. IJCNN 2023: 1-8 - [c236]Mahya Morid Ahmadi, Lilas Alrahis, Ozgur Sinanoglu, Muhammad Shafique:
ShapeShifter: Protecting FPGAs from Side-Channel Attacks with Isofunctional Heterogeneous Modules. IOLTS 2023: 1-7 - [c235]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
TopSpark: A Timestep Optimization Methodology for Energy-Efficient Spiking Neural Networks on Autonomous Mobile Agents. IROS 2023: 3561-3567 - [c234]Mahya Morid Ahmadi, Lilas Alrahis, Ozgur Sinanoglu, Muhammad Shafique:
FPGA-Patch: Mitigating Remote Side-Channel Attacks on FPGAs using Dynamic Patch Generation. ISLPED 2023: 1-6 - [c233]Erik Ostrowski, Muhammad Shafique:
ISLE: A Framework for Image Level Semantic Segmentation Ensemble. ISVC (2) 2023: 41-52 - [c232]Bharath Srinivas Prabakaran, Erik Ostrowski, Muhammad Shafique:
ReFit: A Framework for Refinement of Weakly Supervised Semantic Segmentation Using Object Border Fitting for Medical Images. ISVC (1) 2023: 44-55 - [c231]Mohsen Ansari, Sepideh Safari, Amir Yeganeh-Khaksar, Roozbeh Siyadatzadeh, Pourya Gohari-Nazari, Heba Khdr, Muhammad Shafique, Jörg Henkel, Alireza Ejlali:
ATLAS: Aging-Aware Task Replication for Multicore Safety-Critical Systems. RTAS 2023: 223-234 - [i118]Mahum Naseer, Bharath Srinivas Prabakaran, Osman Hasan, Muhammad Shafique:
UnbiasedNets: A Dataset Diversification Framework for Robustness Bias Alleviation in Neural Networks. CoRR abs/2302.12538 (2023) - [i117]Amira Guesmi, Muhammad Abdullah Hanif, Muhammad Shafique:
AdvRain: Adversarial Raindrops to Attack Camera-based Smart Vision Systems. CoRR abs/2303.01338 (2023) - [i116]Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique:
APARATE: Adaptive Adversarial Patch for CNN-based Monocular Depth Estimation for Autonomous Navigation. CoRR abs/2303.01351 (2023) - [i115]Amira Guesmi, Ioan Marius Bilasco, Muhammad Shafique, Ihsen Alouani:
AdvART: Adversarial Art for Camouflaged Object Detection Attacks. CoRR abs/2303.01734 (2023) - [i114]Ayoub Arous, Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique:
Exploring Machine Learning Privacy/Utility trade-off from a hyperparameters Lens. CoRR abs/2303.01819 (2023) - [i113]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
TopSpark: A Timestep Optimization Methodology for Energy-Efficient Spiking Neural Networks on Autonomous Mobile Agents. CoRR abs/2303.01826 (2023) - [i112]Ebrahim Farahmand, Ali Mahani, Behnam Ghavami, Muhammad Abdullah Hanif, Muhammad Shafique:
scaleTRIM: Scalable TRuncation-Based Integer Approximate Multiplier with Linearization and Compensation. CoRR abs/2303.02495 (2023) - [i111]Amin Kargar-Barzi, Ebrahim Farahmand, Ali Mahani, Muhammad Shafique:
CAE-CNNLoc: An Edge-based WiFi Fingerprinting Indoor Localization Using Convolutional Neural Network and Convolutional Auto-Encoder. CoRR abs/2303.03699 (2023) - [i110]Bharath Srinivas Prabakaran, Vojtech Mrazek, Zdenek Vasícek, Lukás Sekanina, Muhammad Shafique:
autoXFPGAs: An End-to-End Automated Exploration Framework for Approximate Accelerators in FPGA-Based Systems. CoRR abs/2303.04734 (2023) - [i109]Mahya Morid Ahmadi, Faiq Khalid, Radha Vaidya, Florian Kriebel, Andreas Steininger, Muhammad Shafique:
SHIELD: An Adaptive and Lightweight Defense against the Remote Power Side-Channel Attacks on Multi-tenant FPGAs. CoRR abs/2303.06486 (2023) - [i108]Mahya Morid Ahmadi, Lilas Alrahis, Ozgur Sinanoglu, Muhammad Shafique:
DNN-Alias: Deep Neural Network Protection Against Side-Channel Attacks via Layer Balancing. CoRR abs/2303.06746 (2023) - [i107]Bharath Srinivas Prabakaran, Paul Hamelmann, Erik Ostrowski, Muhammad Shafique:
FPUS23: An Ultrasound Fetus Phantom Dataset with Deep Neural Network Evaluations for Fetus Orientations, Fetal Planes, and Anatomical Features. CoRR abs/2303.07852 (2023) - [i106]Bharath Srinivas Prabakaran, Erik Ostrowski, Muhammad Shafique:
BoundaryCAM: A Boundary-based Refinement Framework for Weakly Supervised Semantic Segmentation of Medical Images. CoRR abs/2303.07853 (2023) - [i105]Erik Ostrowski, Bharath Srinivas Prabakaran, Muhammad Shafique:
Image Label based Semantic Segmentation Framework using Object Perimeters. CoRR abs/2303.07892 (2023) - [i104]Erik Ostrowski, Bharath Srinivas Prabakaran, Muhammad Shafique:
Exploring Weakly Supervised Semantic Segmentation Ensembles for Medical Imaging Systems. CoRR abs/2303.07896 (2023) - [i103]Erik Ostrowski, Muhammad Shafique:
AutoEnsemble: Automated Ensemble Search Framework for Semantic Segmentation Using Image Labels. CoRR abs/2303.07898 (2023) - [i102]Alessio Colucci, Andreas Steininger, Muhammad Shafique:
ISimDL: Importance Sampling-Driven Acceleration of Fault Injection Simulations for Evaluating the Robustness of Deep Learning. CoRR abs/2303.08035 (2023) - [i101]Wenqing Li, Yue Wang, Muhammad Shafique, Saif Eddin Jabari:
Physical Backdoor Trigger Activation of Autonomous Vehicle using Reachability Analysis. CoRR abs/2303.13992 (2023) - [i100]Lilas Alrahis, Satwik Patnaik, Muhammad Abdullah Hanif, Muhammad Shafique, Ozgur Sinanoglu:
PoisonedGNN: Backdoor Attack on Graph Neural Networks-based Hardware Security Systems. CoRR abs/2303.14009 (2023) - [i99]Mahum Naseer, Muhammad Shafique:
Poster: Link between Bias, Node Sensitivity and Long-Tail Distribution in trained DNNs. CoRR abs/2303.16589 (2023) - [i98]Mahya Morid Ahmadi, Lilas Alrahis, Ozgur Sinanoglu, Muhammad Shafique:
FPGA-Patch: Mitigating Remote Side-Channel Attacks on FPGAs using Dynamic Patch Generation. CoRR abs/2304.02510 (2023) - [i97]Alberto Marchisio, Antonio De Marco, Alessio Colucci, Maurizio Martina, Muhammad Shafique:
RobCaps: Evaluating the Robustness of Capsule Networks against Affine Transformations and Adversarial Attacks. CoRR abs/2304.03973 (2023) - [i96]Alberto Marchisio, Davide Dura, Maurizio Capra, Maurizio Martina, Guido Masera, Muhammad Shafique:
SwiftTron: An Efficient Hardware Accelerator for Quantized Transformers. CoRR abs/2304.03986 (2023) - [i95]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
EnforceSNN: Enabling Resilient and Energy-Efficient Spiking Neural Network Inference considering Approximate DRAMs for Embedded Systems. CoRR abs/2304.04039 (2023) - [i94]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
RescueSNN: Enabling Reliable Executions on Spiking Neural Network Accelerators under Permanent Faults. CoRR abs/2304.04041 (2023) - [i93]Muhammad Abdullah Hanif, Muhammad Shafique:
eFAT: Improving the Effectiveness of Fault-Aware Training for Mitigating Permanent Faults in DNN Hardware Accelerators. CoRR abs/2304.12949 (2023) - [i92]Amira Guesmi, Ruitian Ding, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique:
DAP: A Dynamic Adversarial Patch for Evading Person Detectors. CoRR abs/2305.11618 (2023) - [i91]Muhammad Abdullah Hanif, Muhammad Shafique:
FAQ: Mitigating the Impact of Faults in the Weight Memory of DNN Accelerators through Fault-Aware Quantization. CoRR abs/2305.12590 (2023) - [i90]Muhammad Abdullah Hanif, Muhammad Shafique:
Reduce: A Framework for Reducing the Overheads of Fault-Aware Retraining. CoRR abs/2305.12595 (2023) - [i89]Ali Akbar Bahoo, Omid Akbari, Muhammad Shafique:
An Energy-Efficient Generic Accuracy Configurable Multiplier Based on Block-Level Voltage Overscaling. CoRR abs/2306.09032 (2023) - [i88]Jafar Vafaei, Omid Akbari, Muhammad Shafique, Christian Hochberger:
X-Rel: Energy-Efficient and Low-Overhead Approximate Reliability Framework for Error-Tolerant Applications Deployed in Critical Systems. CoRR abs/2306.09037 (2023) - [i87]Mahum Naseer, Osman Hasan, Muhammad Shafique:
Scaling Model Checking for DNN Analysis via State-Space Reduction and Input Segmentation (Extended Version). CoRR abs/2306.17323 (2023) - [i86]Vasileios Leon, Muhammad Abdullah Hanif, Giorgos Armeniakos, Xun Jiao, Muhammad Shafique, Kiamal Z. Pekmestzi, Dimitrios Soudris:
Approximate Computing Survey, Part I: Terminology and Software & Hardware Approximation Techniques. CoRR abs/2307.11124 (2023) - [i85]Vasileios Leon, Muhammad Abdullah Hanif, Giorgos Armeniakos, Xun Jiao, Muhammad Shafique, Kiamal Z. Pekmestzi, Dimitrios Soudris:
Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications. CoRR abs/2307.11128 (2023) - [i84]Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique:
SAAM: Stealthy Adversarial Attack on Monoculor Depth Estimation. CoRR abs/2308.03108 (2023) - [i83]Farzad Nikfam, Raffaele Casaburi, Alberto Marchisio, Maurizio Martina, Muhammad Shafique:
A Homomorphic Encryption Framework for Privacy-Preserving Spiking Neural Networks. CoRR abs/2308.05636 (2023) - [i82]Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammed Shafique:
Physical Adversarial Attacks For Camera-based Smart Systems: Current Trends, Categorization, Applications, Research Challenges, and Future Outlook. CoRR abs/2308.06173 (2023) - [i81]Kamila Zaman, Alberto Marchisio, Muhammad Abdullah Hanif, Muhammad Shafique:
A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead. CoRR abs/2310.10315 (2023) - [i80]T. P. Abdul Rahoof, Vivek Chaturvedi, Mahesh Raveendranatha Panicker, Muhammad Shafique:
Tiny-VBF: Resource-Efficient Vision Transformer based Lightweight Beamformer for Ultrasound Single-Angle Plane Wave Imaging. CoRR abs/2311.12082 (2023) - [i79]Nandish Chattopadhyay, Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique:
ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches. CoRR abs/2311.12084 (2023) - [i78]Nandish Chattopadhyay, Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique:
DefensiveDR: Defending against Adversarial Patches using Dimensionality Reduction. CoRR abs/2311.12211 (2023) - 2022
- [j100]Farzad Nikfam, Alberto Marchisio, Maurizio Martina, Muhammad Shafique:
AccelAT: A Framework for Accelerating the Adversarial Training of Deep Neural Networks Through Accuracy Gradient. IEEE Access 10: 108997-109007 (2022) - [j99]Alberto Marchisio, Vojtech Mrazek, Andrea Massa, Beatrice Bussolino, Maurizio Martina, Muhammad Shafique:
RoHNAS: A Neural Architecture Search Framework With Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks. IEEE Access 10: 109043-109055 (2022) - [j98]Iram Tariq Bhatti, Mahum Naseer, Muhammad Shafique, Osman Hasan:
A formal approach to identifying the impact of noise on neural networks. Commun. ACM 65(11): 70-73 (2022) - [j97]Khadija Shaheen, Muhammad Abdullah Hanif, Osman Hasan, Muhammad Shafique:
Continual Learning for Real-World Autonomous Systems: Algorithms, Challenges and Frameworks. J. Intell. Robotic Syst. 105(1): 9 (2022) - [j96]Muhammad Abdullah Hanif, Muhammad Shafique:
A cross-layer approach towards developing efficient embedded Deep Learning systems. Microprocess. Microsystems 88: 103609 (2022) - [j95]Salim Ullah, Semeen Rehman, Muhammad Shafique, Akash Kumar:
High-Performance Accurate and Approximate Multipliers for FPGA-Based Hardware Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(2): 211-224 (2022) - [j94]Faiq Khalid, Imran Hafeez Abbassi, Semeen Rehman, Awais Mehmood Kamboh, Osman Hasan, Muhammad Shafique:
ForASec: Formal Analysis of Hardware Trojan-Based Security Vulnerabilities in Sequential Circuits. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(4): 1167-1180 (2022) - [j93]Lilas Alrahis, Satwik Patnaik, Muhammad Shafique, Ozgur Sinanoglu:
OMLA: An Oracle-Less Machine Learning-Based Attack on Logic Locking. IEEE Trans. Circuits Syst. II Express Briefs 69(3): 1602-1606 (2022) - [j92]Muhammad Shafique, Theocharis Theocharides, Hai Li, Chun Jason Xue:
Introduction to the Special Issue on Accelerating AI on the Edge - Part 1. ACM Trans. Embed. Comput. Syst. 21(5): 47:1-47:5 (2022) - [j91]Muhammad Shafique, Theocharis Theocharides, Hai (Helen) Li, Chun Jason Xue:
Introduction to the Special Issue on Accelerating AI on the Edge - Part 2. ACM Trans. Embed. Comput. Syst. 21(6): 67:1-67:5 (2022) - [j90]Lilas Alrahis, Satwik Patnaik, Muhammad Abdullah Hanif, Hani H. Saleh, Muhammad Shafique, Ozgur Sinanoglu:
GNNUnlock+: A Systematic Methodology for Designing Graph Neural Networks-Based Oracle-Less Unlocking Schemes for Provably Secure Logic Locking. IEEE Trans. Emerg. Top. Comput. 10(3): 1575-1592 (2022) - [j89]Mohsen Ansari, Sepideh Safari, Sina Yari-Karin, Pourya Gohari-Nazari, Heba Khdr, Muhammad Shafique, Jörg Henkel, Alireza Ejlali:
Thermal-Aware Standby-Sparing Technique on Heterogeneous Real-Time Embedded Systems. IEEE Trans. Emerg. Top. Comput. 10(4): 1883-1897 (2022) - [c230]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
SoftSNN: low-cost fault tolerance for spiking neural network accelerators under soft errors. DAC 2022: 151-156 - [c229]Lilas Alrahis, Satwik Patnaik, Muhammad Shafique, Ozgur Sinanoglu:
MuxLink: Circumventing Learning-Resilient MUX-Locking Using Graph Neural Network-based Link Prediction. DATE 2022: 694-699 - [c228]Lilas Alrahis, Satwik Patnaik, Muhammad Shafique, Ozgur Sinanoglu:
Embracing Graph Neural Networks for Hardware Security. ICCAD 2022: 4:1-4:9 - [c227]Mahya Morid Ahmadi, Lilas Alrahis, Alessio Colucci, Ozgur Sinanoglu, Muhammad Shafique:
NeuroUnlock: Unlocking the Architecture of Obfuscated Deep Neural Networks. IJCNN 2022: 1-10 - [c226]Muhammad Abdullah Hanif, Giuseppe Maria Sarda, Alberto Marchisio, Guido Masera, Maurizio Martina, Muhammad Shafique:
CoNLoCNN: Exploiting Correlation and Non-Uniform Quantization for Energy-Efficient Low-precision Deep Convolutional Neural Networks. IJCNN 2022: 1-8 - [c225]Alberto Marchisio, Giovanni Caramia, Maurizio Martina, Muhammad Shafique:
fakeWeather: Adversarial Attacks for Deep Neural Networks Emulating Weather Conditions on the Camera Lens of Autonomous Systems. IJCNN 2022: 1-9 - [c224]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
lpSpikeCon: Enabling Low-Precision Spiking Neural Network Processing for Efficient Unsupervised Continual Learning on Autonomous Agents. IJCNN 2022: 1-8 - [c223]Muhammad Shafique:
EDAML 2022 Invited Speaker 8: Machine Learning for Cross-Layer Reliability and Security. IPDPS Workshops 2022: 1189 - [c222]Alberto Viale, Alberto Marchisio, Maurizio Martina, Guido Masera, Muhammad Shafique:
LaneSNNs: Spiking Neural Networks for Lane Detection on the Loihi Neuromorphic Processor. IROS 2022: 79-86 - [c221]Alessio Colucci, Andreas Steininger, Muhammad Shafique:
enpheeph: A Fault Injection Framework for Spiking and Compressed Deep Neural Networks. IROS 2022: 5155-5162 - [c220]Alberto Marchisio, Beatrice Bussolino, Edoardo Salvati, Maurizio Martina, Guido Masera, Muhammad Shafique:
Enabling Capsule Networks at the Edge through Approximate Softmax and Squash Operations. ISLPED 2022: 27:1-27:6 - [c219]Shail Dave, Alberto Marchisio, Muhammad Abdullah Hanif, Amira Guesmi, Aviral Shrivastava, Ihsen Alouani, Muhammad Shafique:
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems. VTS 2022: 1-14 - [i77]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
SoftSNN: Low-Cost Fault Tolerance for Spiking Neural Network Accelerators under Soft Errors. CoRR abs/2203.05523 (2022) - [i76]Yue Wang, Wenqing Li, Esha Sarkar, Muhammad Shafique, Michail Maniatakos, Saif Eddin Jabari:
PiDAn: A Coherence Optimization Approach for Backdoor Attack Detection and Mitigation in Deep Neural Networks. CoRR abs/2203.09289 (2022) - [i75]Shail Dave, Alberto Marchisio, Muhammad Abdullah Hanif, Amira Guesmi, Aviral Shrivastava, Ihsen Alouani, Muhammad Shafique:
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems. CoRR abs/2204.09514 (2022) - [i74]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
lpSpikeCon: Enabling Low-Precision Spiking Neural Network Processing for Efficient Unsupervised Continual Learning on Autonomous Agents. CoRR abs/2205.12295 (2022) - [i73]Alberto Marchisio, Giovanni Caramia, Maurizio Martina, Muhammad Shafique:
fakeWeather: Adversarial Attacks for Deep Neural Networks Emulating Weather Conditions on the Camera Lens of Autonomous Systems. CoRR abs/2205.13807 (2022) - [i72]Mahya Morid Ahmadi, Lilas Alrahis, Alessio Colucci, Ozgur Sinanoglu, Muhammad Shafique:
NeuroUnlock: Unlocking the Architecture of Obfuscated Deep Neural Networks. CoRR abs/2206.00402 (2022) - [i71]Christopher J. Holder, Muhammad Shafique:
On Efficient Real-Time Semantic Segmentation: A Survey. CoRR abs/2206.08605 (2022) - [i70]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
tinySNN: Towards Memory- and Energy-Efficient Spiking Neural Networks. CoRR abs/2206.08656 (2022) - [i69]Alberto Marchisio, Beatrice Bussolino, Edoardo Salvati, Maurizio Martina, Guido Masera, Muhammad Shafique:
Enabling Capsule Networks at the Edge through Approximate Softmax and Squash Operations. CoRR abs/2206.10200 (2022) - [i68]Alessio Colucci, Andreas Steininger, Muhammad Shafique:
enpheeph: A Fault Injection Framework for Spiking and Compressed Deep Neural Networks. CoRR abs/2208.00328 (2022) - [i67]Muhammad Abdullah Hanif, Giuseppe Maria Sarda, Alberto Marchisio, Guido Masera, Maurizio Martina, Muhammad Shafique:
CoNLoCNN: Exploiting Correlation and Non-Uniform Quantization for Energy-Efficient Low-precision Deep Convolutional Neural Networks. CoRR abs/2208.00331 (2022) - [i66]Alberto Viale, Alberto Marchisio, Maurizio Martina, Guido Masera, Muhammad Shafique:
LaneSNNs: Spiking Neural Networks for Lane Detection on the Loihi Neuromorphic Processor. CoRR abs/2208.02253 (2022) - [i65]Lilas Alrahis, Satwik Patnaik, Muhammad Shafique, Ozgur Sinanoglu:
Embracing Graph Neural Networks for Hardware Security (Invited Paper). CoRR abs/2208.08554 (2022) - [i64]Alberto Marchisio, Vojtech Mrazek, Andrea Massa, Beatrice Bussolino, Maurizio Martina, Muhammad Shafique:
RoHNAS: A Neural Architecture Search Framework with Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks. CoRR abs/2210.05276 (2022) - [i63]Farzad Nikfam, Alberto Marchisio, Maurizio Martina, Muhammad Shafique:
AccelAT: A Framework for Accelerating the Adversarial Training of Deep Neural Networks through Accuracy Gradient. CoRR abs/2210.06888 (2022) - [i62]Christopher J. Holder, Muhammad Shafique:
Efficient Neural Mapping for Localisation of Unmanned Ground Vehicles. CoRR abs/2211.04718 (2022) - [i61]Christopher J. Holder, Majid Khonji, Jorge Dias, Muhammad Shafique:
Building Resilience to Out-of-Distribution Visual Data via Input Optimization and Model Finetuning. CoRR abs/2211.16228 (2022) - [i60]Bharath Srinivas Prabakaran, Felix Fasching, Juri Schreib, Andreas Steininger, Muhammad Shafique:
ATLAS: An IoT Architecture and Secure Open-source Networking Stack for Anonymous Localization and Tracking Using Smartphones and Bluetooth Beacons. CoRR abs/2212.10289 (2022) - [i59]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
Mantis: Enabling Energy-Efficient Autonomous Mobile Agents with Spiking Neural Networks. CoRR abs/2212.12620 (2022) - 2021
- [j88]Dilshad Sabir, Muhammad Abdullah Hanif, Ali Hassan, Saad Rehman, Muhammad Shafique:
TiQSA: Workload Minimization in Convolutional Neural Networks Using Tile Quantization and Symmetry Approximation. IEEE Access 9: 53647-53668 (2021) - [j87]Bharath Srinivas Prabakaran, Asima Akhtar, Semeen Rehman, Osman Hasan, Muhammad Shafique:
BioNetExplorer: Architecture-Space Exploration of Biosignal Processing Deep Neural Networks for Wearables. IEEE Internet Things J. 8(17): 13251-13265 (2021) - [j86]Nivedita Shrivastava, Muhammad Abdullah Hanif, Sparsh Mittal, Smruti Ranjan Sarangi, Muhammad Shafique:
A survey of hardware architectures for generative adversarial networks. J. Syst. Archit. 118: 102227 (2021) - [j85]Bagh Ali, Sajjad Hussain, Muhammad Shafique, Danial Habib, Ghulam Rasool:
Analyzing the interaction of hybrid base liquid C2H6O2-H2O with hybrid nano-material Ag-MoS2 for unsteady rotational flow referred to an elongated surface using modified Buongiorno's model: FEM simulation. Math. Comput. Simul. 190: 57-74 (2021) - [j84]Maryam Idrees, Mohammed Manzar Maqbool, Muhammad Khurram Bhatti, Muhammad Mahboob Ur Rahman, Rehan Hafiz, Muhammad Shafique:
An approximate-computing empowered green 6G downlink. Phys. Commun. 49: 101444 (2021) - [j83]Marcelo Brandalero, Luigi Carro, Antonio Carlos Schneider Beck, Muhammad Shafique:
Multi-Target Adaptive Reconfigurable Acceleration for Low-Power IoT Processing. IEEE Trans. Computers 70(1): 83-98 (2021) - [j82]Vijeta Rathore, Vivek Chaturvedi, Amit Kumar Singh, Thambipillai Srikanthan, Muhammad Shafique:
Longevity Framework: Leveraging Online Integrated Aging-Aware Hierarchical Mapping and VF-Selection for Lifetime Reliability Optimization in Manycore Processors. IEEE Trans. Computers 70(7): 1106-1119 (2021) - [j81]Alberto Marchisio, Vojtech Mrazek, Muhammad Abdullah Hanif, Muhammad Shafique:
DESCNet: Developing Efficient Scratchpad Memories for Capsule Network Hardware. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(9): 1768-1781 (2021) - [j80]Jorge Castro-Godínez, Humberto Barrantes-García, Muhammad Shafique, Jörg Henkel:
AxLS: A Framework for Approximate Logic Synthesis Based on Netlist Transformations. IEEE Trans. Circuits Syst. II Express Briefs 68(8): 2845-2849 (2021) - [j79]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
ROMANet: Fine-Grained Reuse-Driven Off-Chip Memory Access Management and Data Organization for Deep Neural Network Accelerators. IEEE Trans. Very Large Scale Integr. Syst. 29(4): 702-715 (2021) - [j78]Alberto Marchisio, Vojtech Mrazek, Muhammad Abdullah Hanif, Muhammad Shafique:
FEECA: Design Space Exploration for Low-Latency and Energy-Efficient Capsule Network Accelerators. IEEE Trans. Very Large Scale Integr. Syst. 29(4): 716-729 (2021) - [c218]Oliver Bringmann, Wolfgang Ecker, Ingo Feldner, Adrian Frischknecht, Christoph Gerum, Timo Hämäläinen, Muhammad Abdullah Hanif, Michael J. Klaiber, Daniel Mueller-Gritschneder, Paul Palomero Bernardo, Sebastian Siegfried Prebeck, Muhammad Shafique:
Automated HW/SW co-design for edge AI: state, challenges and steps ahead. CODES+ISSS 2021: 11-20 - [c217]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
SparkXD: A Framework for Resilient and Energy-Efficient Spiking Neural Network Inference using Approximate DRAM. DAC 2021: 379-384 - [c216]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
SpikeDyn: A Framework for Energy-Efficient Spiking Neural Networks with Continual and Unsupervised Learning Capabilities in Dynamic Environments. DAC 2021: 1057-1062 - [c215]Muhammad Shafique, Theocharis Theocharides, Vijay Janapa Reddi, Boris Murmann:
TinyML: Current Progress, Research Challenges, and Future Roadmap. DAC 2021: 1303-1306 - [c214]Alessio Colucci, Dávid Juhász, Martin Mosbeck, Alberto Marchisio, Semeen Rehman, Manfred Kreutzer, Günther Nadbath, Axel Jantsch, Muhammad Shafique:
MLComp: A Methodology for Machine Learning-based Performance Estimation and Adaptive Selection of Pareto-Optimal Compiler Optimization Sequences. DATE 2021: 108-113 - [c213]Muhammad Abdullah Hanif, Muhammad Shafique:
DNN-Life: An Energy-Efficient Aging Mitigation Framework for Improving the Lifetime of On-Chip Weight Memories in Deep Neural Network Hardware Architectures. DATE 2021: 729-734 - [c212]Rida El-Allami, Alberto Marchisio, Muhammad Shafique, Ihsen Alouani:
Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters. DATE 2021: 774-779 - [c211]Lilas Alrahis, Satwik Patnaik, Faiq Khalid, Muhammad Abdullah Hanif, Hani H. Saleh, Muhammad Shafique, Ozgur Sinanoglu:
GNNUnlock: Graph Neural Networks-based Oracle-less Unlocking Scheme for Provably Secure Logic Locking. DATE 2021: 780-785 - [c210]Le Ha Hoang, Muhammad Abdullah Hanif, Muhammad Shafique:
TRe-Map: Towards Reducing the Overheads of Fault-Aware Retraining of Deep Neural Networks by Merging Fault Maps. DSD 2021: 434-441 - [c209]Alberto Bosio, Ian O'Connor, Marcello Traiola, Jorge Echavarria, Jürgen Teich, Muhammad Abdullah Hanif, Muhammad Shafique, Said Hamdioui, Bastien Deveautour, Patrick Girard, Arnaud Virazel, Koen Bertels:
Emerging Computing Devices: Challenges and Opportunities for Test and Reliability*. ETS 2021: 1-10 - [c208]Muhammad Shafique, Alberto Marchisio, Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif:
Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework ICCAD Special Session Paper. ICCAD 2021: 1-9 - [c207]Lilas Alrahis, Satwik Patnaik, Muhammad Abdullah Hanif, Muhammad Shafique, Ozgur Sinanoglu:
UNTANGLE: Unlocking Routing and Logic Obfuscation Using Graph Neural Networks-based Link Prediction. ICCAD 2021: 1-9 - [c206]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
ReSpawn: Energy-Efficient Fault-Tolerance for Spiking Neural Networks considering Unreliable Memories. ICCAD 2021: 1-9 - [c205]Christopher J. Holder, Muhammad Shafique:
Efficient Uncertainty Estimation in Semantic Segmentation via Distillation. ICCVW 2021: 3080-3087 - [c204]Alberto Marchisio, Giacomo Pira, Maurizio Martina, Guido Masera, Muhammad Shafique:
DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking Neural Networks. IJCNN 2021: 1-9 - [c203]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
Q-SpiNN: A Framework for Quantizing Spiking Neural Networks. IJCNN 2021: 1-8 - [c202]Alberto Viale, Alberto Marchisio, Maurizio Martina, Guido Masera, Muhammad Shafique:
CarSNN: An Efficient Spiking Neural Network for Event-Based Autonomous Cars on the Loihi Neuromorphic Research Processor. IJCNN 2021: 1-10 - [c201]Alberto Marchisio, Giacomo Pira, Maurizio Martina, Guido Masera, Muhammad Shafique:
R-SNN: An Analysis and Design Methodology for Robustifying Spiking Neural Networks against Adversarial Attacks through Noise Filters for Dynamic Vision Sensors. IROS 2021: 6315-6321 - [c200]Jeferson González-Gómez, Steven Ávila-Ardón, Jonathan Rojas-González, Andres Stephen-Cantillano, Jorge Castro-Godínez, Carlos Salazar-García, Muhammad Shafique, Jörg Henkel:
TailoredCore: Generating Application-Specific RISC-V-based Cores. LASCAS 2021: 1-4 - [e3]Muhammad Shafique, Andreas Steininger, Lukás Sekanina, Milos Krstic, Goran Stojanovic, Vojtech Mrazek:
24th International Symposium on Design and Diagnostics of Electronic Circuits & Systems, DDECS 2021, Vienna, Austria, April 7-9, 2021. IEEE 2021, ISBN 978-1-6654-3595-6 [contents] - [i58]Muhammad Shafique, Mahum Naseer, Theocharis Theocharides, Christos Kyrkou, Onur Mutlu, Lois Orosa, Jungwook Choi:
Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead. CoRR abs/2101.02559 (2021) - [i57]Muhammad Abdullah Hanif, Muhammad Shafique:
DNN-Life: An Energy-Efficient Aging Mitigation Framework for Improving the Lifetime of On-Chip Weight Memories in Deep Neural Network Hardware Architectures. CoRR abs/2101.12351 (2021) - [i56]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
SparkXD: A Framework for Resilient and Energy-Efficient Spiking Neural Network Inference using Approximate DRAM. CoRR abs/2103.00421 (2021) - [i55]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
SpikeDyn: A Framework for Energy-Efficient Spiking Neural Networks with Continual and Unsupervised Learning Capabilities in Dynamic Environments. CoRR abs/2103.00424 (2021) - [i54]Faiq Khalid, Muhammad Abdullah Hanif, Muhammad Shafique:
Exploiting Vulnerabilities in Deep Neural Networks: Adversarial and Fault-Injection Attacks. CoRR abs/2105.03251 (2021) - [i53]Khadija Shaheen, Muhammad Abdullah Hanif, Osman Hasan, Muhammad Shafique:
Continual Learning for Real-World Autonomous Systems: Algorithms, Challenges and Frameworks. CoRR abs/2105.12374 (2021) - [i52]Ebrahim Farahmand, Ali Mahani, Muhammad Abdullah Hanif, Muhammad Shafique:
High Performance and Optimal Configuration of Accurate Heterogeneous Block-Based Approximate Adder. CoRR abs/2106.08800 (2021) - [i51]Mahya Morid Ahmadi, Faiq Khalid, Muhammad Shafique:
Side-Channel Attacks on RISC-V Processors: Current Progress, Challenges, and Opportunities. CoRR abs/2106.08877 (2021) - [i50]Alberto Viale, Alberto Marchisio, Maurizio Martina, Guido Masera, Muhammad Shafique:
CarSNN: An Efficient Spiking Neural Network for Event-Based Autonomous Cars on the Loihi Neuromorphic Research Processor. CoRR abs/2107.00401 (2021) - [i49]Alberto Marchisio, Giacomo Pira, Maurizio Martina, Guido Masera, Muhammad Shafique:
DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking Neural Networks. CoRR abs/2107.00415 (2021) - [i48]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
Q-SpiNN: A Framework for Quantizing Spiking Neural Networks. CoRR abs/2107.01807 (2021) - [i47]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
ReSpawn: Energy-Efficient Fault-Tolerance for Spiking Neural Networks considering Unreliable Memories. CoRR abs/2108.10271 (2021) - [i46]Alberto Marchisio, Giacomo Pira, Maurizio Martina, Guido Masera, Muhammad Shafique:
R-SNN: An Analysis and Design Methodology for Robustifying Spiking Neural Networks against Adversarial Attacks through Noise Filters for Dynamic Vision Sensors. CoRR abs/2109.00533 (2021) - [i45]Bharath Srinivas Prabakaran, Asima Akhtar, Semeen Rehman, Osman Hasan, Muhammad Shafique:
BioNetExplorer: Architecture-Space Exploration of Bio-Signal Processing Deep Neural Networks for Wearables. CoRR abs/2109.02909 (2021) - [i44]Muhammad Shafique, Alberto Marchisio, Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif:
Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework. CoRR abs/2109.09829 (2021) - [i43]Lilas Alrahis, Satwik Patnaik, Muhammad Abdullah Hanif, Muhammad Shafique, Ozgur Sinanoglu:
UNTANGLE: Unlocking Routing and Logic Obfuscation Using Graph Neural Networks-based Link Prediction. CoRR abs/2111.07062 (2021) - [i42]Lilas Alrahis, Satwik Patnaik, Muhammad Shafique, Ozgur Sinanoglu:
MuxLink: Circumventing Learning-Resilient MUX-Locking Using Graph Neural Network-based Link Prediction. CoRR abs/2112.07178 (2021) - [i41]Afifa Ishtiaq, Muhammad Shafique, Osman Hassan:
CARiMoL: A Configurable Hardware Accelerator for Ringand Module Lattice-Based Post-Quantum Cryptography. IACR Cryptol. ePrint Arch. 2021: 714 (2021) - 2020
- [j77]Zakia Yahya, Muhammad Hassan, Muhammad Shahzad Younis, Muhammad Shafique:
Probabilistic Analysis of Targeted Attacks Using Transform-Domain Adversarial Examples. IEEE Access 8: 33855-33869 (2020) - [j76]Tuaha Nomani, Mujahid Mohsin, Zahid Pervaiz, Muhammad Shafique:
xUAVs: Towards Efficient Approximate Computing for UAVs - Low Power Approximate Adders With Single LUT Delay for FPGA-Based Aerial Imaging Optimization. IEEE Access 8: 102982-102996 (2020) - [j75]Mohsin Riaz, Rehan Hafiz, Salman Abdul Khaliq, Muhammad Faisal, Hafiz Talha Iqbal, Mohsen Ali, Muhammad Shafique:
CAxCNN: Towards the Use of Canonic Sign Digit Based Approximation for Hardware-Friendly Convolutional Neural Networks. IEEE Access 8: 127014-127021 (2020) - [j74]Mohsen Ansari, Mohammad Salehi, Sepideh Safari, Alireza Ejlali, Muhammad Shafique:
Peak-Power-Aware Primary-Backup Technique for Efficient Fault-Tolerance in Multicore Embedded Systems. IEEE Access 8: 142843-142857 (2020) - [j73]Paniti Achararit, Muhammad Abdullah Hanif, Rachmad Vidya Wicaksana Putra, Muhammad Shafique, Yuko Hara-Azumi:
APNAS: Accuracy-and-Performance-Aware Neural Architecture Search for Neural Hardware Accelerators. IEEE Access 8: 165319-165334 (2020) - [j72]Maurizio Capra, Beatrice Bussolino, Alberto Marchisio, Guido Masera, Maurizio Martina, Muhammad Shafique:
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead. IEEE Access 8: 225134-225180 (2020) - [j71]Muhammad Abdullah Hanif, Aditya Manglik, Muhammad Shafique:
Resistive Crossbar-Aware Neural Network Design and Optimization. IEEE Access 8: 229066-229085 (2020) - [j70]Theocharis Theocharides, Muhammad Shafique, Jungwook Choi, Onur Mutlu:
Guest Editorial: Robust Resource-Constrained Systems for Machine Learning. IEEE Des. Test 37(2): 5-7 (2020) - [j69]Muhammad Shafique, Mahum Naseer, Theocharis Theocharides, Christos Kyrkou, Onur Mutlu, Lois Orosa, Jungwook Choi:
Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead. IEEE Des. Test 37(2): 30-57 (2020) - [j68]Maurizio Capra, Beatrice Bussolino, Alberto Marchisio, Muhammad Shafique, Guido Masera, Maurizio Martina:
An Updated Survey of Efficient Hardware Architectures for Accelerating Deep Convolutional Neural Networks. Future Internet 12(7): 113 (2020) - [j67]Muhammad Kamran Ayub, Muhammad Abdullah Hanif, Osman Hasan, Muhammad Shafique:
PEAL: Probabilistic Error Analysis Methodology for Low-power Approximate Adders. ACM J. Emerg. Technol. Comput. Syst. 17(1): 1:1-1:37 (2020) - [j66]Faiq Khalid, Syed Rafay Hasan, Osman Hasan, Muhammad Shafique:
SIMCom: Statistical sniffing of inter-module communications for runtime hardware trojan detection. Microprocess. Microsystems 77: 103122 (2020) - [j65]Salah Ud Din, Naveed Akhtar, Shahzad Younis, Faisal Shafait, Atif Bin Mansoor, Muhammad Shafique:
Steganographic universal adversarial perturbations. Pattern Recognit. Lett. 135: 146-152 (2020) - [j64]Syed Ali Asadullah Bukhari, Faiq Khalid, Osman Hasan, Muhammad Shafique, Jörg Henkel:
Toward Model Checking-Driven Fair Comparison of Dynamic Thermal Management Techniques Under Multithreaded Workloads. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(8): 1725-1738 (2020) - [j63]Omid Akbari, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram, Muhammad Shafique:
X-CGRA: An Energy-Efficient Approximate Coarse-Grained Reconfigurable Architecture. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(10): 2558-2571 (2020) - [j62]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
FSpiNN: An Optimization Framework for Memory-Efficient and Energy-Efficient Spiking Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(11): 3601-3613 (2020) - [j61]Faiq Khalid, Syed Rafay Hasan, Sara Zia, Osman Hasan, Falah Awwad, Muhammad Shafique:
MacLeR: Machine Learning-Based Runtime Hardware Trojan Detection in Resource-Constrained IoT Edge Devices. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(11): 3748-3761 (2020) - [j60]Hazoor Ahmad, Tabasher Arif, Muhammad Abdullah Hanif, Rehan Hafiz, Muhammad Shafique:
SuperSlash: A Unified Design Space Exploration and Model Compression Methodology for Design of Deep Learning Accelerators With Reduced Off-Chip Memory Access Volume. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(11): 4191-4204 (2020) - [j59]Heba Khdr, Muhammad Shafique, Santiago Pagani, Andreas Herkersdorf, Jörg Henkel:
Combinatorial Auctions for Temperature-Constrained Resource Management in Manycores. IEEE Trans. Parallel Distributed Syst. 31(7): 1605-1620 (2020) - [j58]Ahmed Hemani, Muhammad Shafique, Kolin Paul:
Guest Editorial: Special Issue on Architectures and Design Methods for Neural Networks. J. Signal Process. Syst. 92(11): 1215-1217 (2020) - [c199]Jorge Castro-Godínez, Muhammad Shafique, Jörg Henkel:
Towards Quality-Driven Approximate Software Generation for Accurate Hardware: Work-in-Progress. CASES 2020: 12-14 - [c198]Alessio Colucci, Alberto Marchisio, Beatrice Bussolino, Vojtech Mrazek, Maurizio Martina, Guido Masera, Muhammad Shafique:
A Fast Design Space Exploration Framework for the Deep Learning Accelerators: Work-in-Progress. CODES+ISSS 2020: 34-36 - [c197]Marcelo Brandalero, Bernardo Neuhaus Lignati, Antonio Carlos Schneider Beck, Muhammad Shafique, Michael Hübner:
Proactive Aging Mitigation in CGRAs through Utilization-Aware Allocation. DAC 2020: 1-6 - [c196]Muhammad Abdullah Hanif, Rehan Hafiz, Osman Hasan, Muhammad Shafique:
PEMACx: A Probabilistic Error Analysis Methodology for Adders with Cascaded Approximate Units. DAC 2020: 1-6 - [c195]Alberto Marchisio, Beatrice Bussolino, Alessio Colucci, Maurizio Martina, Guido Masera, Muhammad Shafique:
Q-CapsNets: A Specialized Framework for Quantizing Capsule Networks. DAC 2020: 1-6 - [c194]Bharath Srinivas Prabakaran, Alberto García Jiménez, Germán Moltó Martínez, Muhammad Shafique:
EMAP: A Cloud-Edge Hybrid Framework for EEG Monitoring and Cross-Correlation Based Real-time Anomaly Prediction. DAC 2020: 1-6 - [c193]Bharath Srinivas Prabakaran, Vojtech Mrazek, Zdenek Vasícek, Lukás Sekanina, Muhammad Shafique:
ApproxFPGAs: Embracing ASIC-Based Approximate Arithmetic Components for FPGA-Based Systems. DAC 2020: 1-6 - [c192]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
DRMap: A Generic DRAM Data Mapping Policy for Energy-Efficient Processing of Convolutional Neural Networks. DAC 2020: 1-6 - [c191]Mahum Naseer, Mishal Fatima Minhas, Faiq Khalid, Muhammad Abdullah Hanif, Osman Hasan, Muhammad Shafique:
FANNet: Formal Analysis of Noise Tolerance, Training Bias and Input Sensitivity in Neural Networks. DATE 2020: 666-669 - [c190]Alberto Marchisio, Vojtech Mrazek, Muhammad Abdullah Hanif, Muhammad Shafique:
ReD-CaNe: A Systematic Methodology for Resilience Analysis and Design of Capsule Networks under Approximations. DATE 2020: 1205-1210 - [c189]Le Ha Hoang, Muhammad Abdullah Hanif, Muhammad Shafique:
FT-ClipAct: Resilience Analysis of Deep Neural Networks and Improving their Fault Tolerance using Clipped Activation. DATE 2020: 1241-1246 - [c188]Alberto Marchisio, Andrea Massa, Vojtech Mrazek, Beatrice Bussolino, Maurizio Martina, Muhammad Shafique:
NASCaps: A Framework for Neural Architecture Search to Optimize the Accuracy and Hardware Efficiency of Convolutional Capsule Networks. ICCAD 2020: 114:1-114:9 - [c187]Jorge Castro-Godínez, Julián Mateus-Vargas, Muhammad Shafique, Jörg Henkel:
AxHLS: Design Space Exploration and High-Level Synthesis of Approximate Accelerators using Approximate Functional Units and Analytical Models. ICCAD 2020: 117:1-117:9 - [c186]Faiq Khalid, Hassan Ali, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, Muhammad Shafique:
FaDec: A Fast Decision-based Attack for Adversarial Machine Learning. IJCNN 2020: 1-8 - [c185]Alberto Marchisio, Beatrice Bussolino, Alessio Colucci, Muhammad Abdullah Hanif, Maurizio Martina, Guido Masera, Muhammad Shafique:
FasTrCaps: An Integrated Framework for Fast yet Accurate Training of Capsule Networks. IJCNN 2020: 1-8 - [c184]Alberto Marchisio, Giorgio Nanfa, Faiq Khalid, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique:
Is Spiking Secure? A Comparative Study on the Security Vulnerabilities of Spiking and Deep Neural Networks. IJCNN 2020: 1-8 - [c183]Riccardo Massa, Alberto Marchisio, Maurizio Martina, Muhammad Shafique:
An Efficient Spiking Neural Network for Recognizing Gestures with a DVS Camera on the Loihi Neuromorphic Processor. IJCNN 2020: 1-9 - [c182]Valerio Venceslai, Alberto Marchisio, Ihsen Alouani, Maurizio Martina, Muhammad Shafique:
NeuroAttack: Undermining Spiking Neural Networks Security through Externally Triggered Bit-Flips. IJCNN 2020: 1-8 - [c181]Muhammad Abdullah Hanif, Muhammad Shafique:
Dependable Deep Learning: Towards Cost-Efficient Resilience of Deep Neural Network Accelerators against Soft Errors and Permanent Faults. IOLTS 2020: 1-4 - [c180]Jorge Castro-Godínez, Deykel Hernández-Araya, Muhammad Shafique, Jörg Henkel:
Approximate Acceleration for CNN-based Applications on IoT Edge Devices. LASCAS 2020: 1-4 - [c179]Deykel Hernández-Araya, Jorge Castro-Godínez, Muhammad Shafique, Jörg Henkel:
AUGER: A Tool for Generating Approximate Arithmetic Circuits. LASCAS 2020: 1-4 - [c178]Muhammad Abdullah Hanif, Le Ha Hoang, Muhammad Shafique:
Cross-layer approaches for improving the dependability of deep learning systems. SCOPES 2020: 78-81 - [i40]Alberto Marchisio, Beatrice Bussolino, Alessio Colucci, Maurizio Martina, Guido Masera, Muhammad Shafique:
Q-CapsNets: A Specialized Framework for Quantizing Capsule Networks. CoRR abs/2004.07116 (2020) - [i39]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
DRMap: A Generic DRAM Data Mapping Policy for Energy-Efficient Processing of Convolutional Neural Networks. CoRR abs/2004.10341 (2020) - [i38]Marcelo Brandalero, Bernardo Neuhaus Lignati, Antonio Carlos Schneider Beck, Muhammad Shafique, Michael Hübner:
Proactive Aging Mitigation in CGRAs through Utilization-Aware Allocation. CoRR abs/2004.10470 (2020) - [i37]Bharath Srinivas Prabakaran, Alberto García Jiménez, Germán Moltó Martínez, Muhammad Shafique:
EMAP: A Cloud-Edge Hybrid Framework for EEG Monitoring and Cross-Correlation Based Real-time Anomaly Prediction. CoRR abs/2004.10491 (2020) - [i36]Bharath Srinivas Prabakaran, Vojtech Mrazek, Zdenek Vasícek, Lukás Sekanina, Muhammad Shafique:
ApproxFPGAs: Embracing ASIC-Based Approximate Arithmetic Components for FPGA-Based Systems. CoRR abs/2004.10502 (2020) - [i35]Valerio Venceslai, Alberto Marchisio, Ihsen Alouani, Maurizio Martina, Muhammad Shafique:
NeuroAttack: Undermining Spiking Neural Networks Security through Externally Triggered Bit-Flips. CoRR abs/2005.08041 (2020) - [i34]Riccardo Massa, Alberto Marchisio, Maurizio Martina, Muhammad Shafique:
An Efficient Spiking Neural Network for Recognizing Gestures with a DVS Camera on the Loihi Neuromorphic Processor. CoRR abs/2006.09985 (2020) - [i33]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
FSpiNN: An Optimization Framework for Memory- and Energy-Efficient Spiking Neural Networks. CoRR abs/2007.08860 (2020) - [i32]Alberto Marchisio, Andrea Massa, Vojtech Mrazek, Beatrice Bussolino, Maurizio Martina, Muhammad Shafique:
NASCaps: A Framework for Neural Architecture Search to Optimize the Accuracy and Hardware Efficiency of Convolutional Capsule Networks. CoRR abs/2008.08476 (2020) - [i31]Alberto Marchisio, Vojtech Mrazek, Muhammad Abdullah Hanif, Muhammad Shafique:
DESCNet: Developing Efficient Scratchpad Memories for Capsule Network Hardware. CoRR abs/2010.05754 (2020) - [i30]Faiq Khalid, Syed Rafay Hasan, Sara Zia, Osman Hasan, Falah Awwad, Muhammad Shafique:
MacLeR: Machine Learning-based Run-Time Hardware Trojan Detection in Resource-Constrained IoT Edge Devices. CoRR abs/2011.11632 (2020) - [i29]Alessio Colucci, Dávid Juhász, Martin Mosbeck, Alberto Marchisio, Semeen Rehman, Manfred Kreutzer, Guenther Nadbath, Axel Jantsch, Muhammad Shafique:
MLComp: A Methodology for Machine Learning-based Performance Estimation and Adaptive Selection of Pareto-Optimal Compiler Optimization Sequences. CoRR abs/2012.05270 (2020) - [i28]Rida El-Allami, Alberto Marchisio, Muhammad Shafique, Ihsen Alouani:
Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters. CoRR abs/2012.05321 (2020) - [i27]Lilas Alrahis, Satwik Patnaik, Faiq Khalid, Muhammad Abdullah Hanif, Hani H. Saleh, Muhammad Shafique, Ozgur Sinanoglu:
GNNUnlock: Graph Neural Networks-based Oracle-less Unlocking Scheme for Provably Secure Logic Locking. CoRR abs/2012.05948 (2020) - [i26]Maurizio Capra, Beatrice Bussolino, Alberto Marchisio, Guido Masera, Maurizio Martina, Muhammad Shafique:
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead. CoRR abs/2012.11233 (2020)
2010 – 2019
- 2019
- [j57]Denise Ratasich, Faiq Khalid, Florian Geissler, Radu Grosu, Muhammad Shafique, Ezio Bartocci:
A Roadmap Toward the Resilient Internet of Things for Cyber-Physical Systems. IEEE Access 7: 13260-13283 (2019) - [j56]G. A. Gillani, Muhammad Abdullah Hanif, B. Verstoep, Sabih H. Gerez, Muhammad Shafique, André B. J. Kokkeler:
MACISH: Designing Approximate MAC Accelerators With Internal-Self-Healing. IEEE Access 7: 77142-77160 (2019) - [j55]Bharath Srinivas Prabakaran, Mihika Dave, Florian Kriebel, Semeen Rehman, Muhammad Shafique:
Architectural-Space Exploration of Heterogeneous Reliability and Checkpointing Modes for Out-of-Order Superscalar Processors. IEEE Access 7: 145324-145339 (2019) - [j54]Sai Manoj Pudukotai Dinakarrao, Axel Jantsch, Muhammad Shafique:
Computer-aided Arrhythmia Diagnosis with Bio-signal Processing: A Survey of Trends and Techniques. ACM Comput. Surv. 52(2): 23:1-23:37 (2019) - [j53]Sai Manoj Pudukotai Dinakarrao, Arun Joseph, Anand Haridass, Muhammad Shafique, Jörg Henkel, Houman Homayoun:
Application and Thermal-reliability-aware Reinforcement Learning Based Multi-core Power Management. ACM J. Emerg. Technol. Comput. Syst. 15(4): 33:1-33:19 (2019) - [j52]Alberto Paltrinieri, Riccardo Peloso, Guido Masera, Muhammad Shafique, Maurizio Martina:
On the Effect of Approximate-Computing in Motion Estimation. J. Low Power Electron. 15(1): 40-50 (2019) - [j51]Sana Mazahir, Osman Hasan, Muhammad Shafique:
Self-compensating accelerators for efficient approximate computing. Microelectron. J. 88: 9-17 (2019) - [j50]Rida Amjad, Rehan Hafiz, Muhammad U. Ilyas, Muhammad Shahzad Younis, Muhammad Shafique:
m-SAAC: Multi-stage adaptive approximation control to select approximate computing modes for vision applications. Microelectron. J. 91: 84-91 (2019) - [j49]Felipe Martin Sampaio, Bruno Zatt, Muhammad Shafique, Jörg Henkel, Sergio Bampi:
Hybrid Scratchpad Video Memory Architecture for Energy-Efficient Parallel HEVC. IEEE Trans. Circuits Syst. Video Technol. 29(10): 3046-3060 (2019) - [j48]Jorge Castro-Godínez, Muhammad Shafique, Jörg Henkel:
ECAx: Balancing Error Correction Costs in Approximate Accelerators. ACM Trans. Embed. Comput. Syst. 18(5s): 48:1-48:20 (2019) - [c177]Muhammad Abdullah Hanif, Faiq Khalid, Muhammad Shafique:
CANN: Curable Approximations for High-Performance Deep Neural Network Accelerators. DAC 2019: 6 - [c176]Vojtech Mrazek, Muhammad Abdullah Hanif, Zdenek Vasícek, Lukás Sekanina, Muhammad Shafique:
autoAx: An Automatic Design Space Exploration and Circuit Building Methodology utilizing Libraries of Approximate Components. DAC 2019: 123 - [c175]Jeff Jun Zhang, Kang Liu, Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Theocharis Theocharides, Alessandro Artussi, Muhammad Shafique, Siddharth Garg:
Building Robust Machine Learning Systems: Current Progress, Research Challenges, and Opportunities. DAC 2019: 175 - [c174]Vijeta Rathore, Vivek Chaturvedi, Amit Kumar Singh, Thambipillai Srikanthan, Muhammad Shafique:
LifeGuard: A Reinforcement Learning-Based Task Mapping Strategy for Performance-Centric Aging Management. DAC 2019: 179 - [c173]Bharath Srinivas Prabakaran, Semeen Rehman, Muhammad Shafique:
XBioSiP: A Methodology for Approximate Bio-Signal Processing at the Edge. DAC 2019: 184 - [c172]Marcelo Brandalero, Muhammad Shafique, Luigi Carro, Antonio Carlos Schneider Beck:
TransRec: Improving Adaptability in Single-ISA Heterogeneous Systems with Transparent and Reconfigurable Acceleration. DATE 2019: 582-585 - [c171]Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Junaid Qadir, Muhammad Shafique:
FAdeML: Understanding the Impact of Pre-Processing Noise Filtering on Adversarial Machine Learning. DATE 2019: 902-907 - [c170]Imran Hafeez Abbassi, Faiq Khalid, Semeen Rehman, Awais Mehmood Kamboh, Axel Jantsch, Siddharth Garg, Muhammad Shafique:
TrojanZero: Switching Activity-Aware Design of Undetectable Hardware Trojans with Zero Power and Area Footprint. DATE 2019: 914-919 - [c169]Alberto Marchisio, Muhammad Abdullah Hanif, Muhammad Shafique:
CapsAcc: An Efficient Hardware Accelerator for CapsuleNets with Data Reuse. DATE 2019: 964-967 - [c168]Sajjad Hussain, Muhammad Shafique, Jörg Henkel:
A Fine-Grained Soft Error Resilient Architecture under Power Considerations. DATE 2019: 972-975 - [c167]Sajjad Hussain, Muhammad Shafique, Jörg Henkel:
Thermal-Awareness in a Soft Error Tolerant Architecture. DATE 2019: 1555-1558 - [c166]Vojtech Mrazek, Zdenek Vasícek, Lukás Sekanina, Muhammad Abdullah Hanif, Muhammad Shafique:
ALWANN: Automatic Layer-Wise Approximation of Deep Neural Network Accelerators without Retraining. ICCAD 2019: 1-8 - [c165]Florian Kriebel, Semeen Rehman, Muhammad Shafique:
Studying Aging and Soft Error Mitigation Jointly under Constrained Scenarios in Multi-Cores. IOLTS 2019: 139-142 - [c164]Faiq Khalid, Hassan Ali, Hammad Tariq, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, Muhammad Shafique:
QuSecNets: Quantization-based Defense Mechanism for Securing Deep Neural Network against Adversarial Attacks. IOLTS 2019: 182-187 - [c163]Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, Muhammad Shafique:
TrISec: Training Data-Unaware Imperceptible Security Attacks on Deep Neural Networks. IOLTS 2019: 188-193 - [c162]Vijeta Rathore, Vivek Chaturvedi, Amit Kumar Singh, Thambipillai Srikanthan, Muhammad Shafique:
Towards Scalable Lifetime Reliability Management for Dark Silicon Manycore Systems. IOLTS 2019: 204-207 - [c161]Muhammad Abdullah Hanif, Muhammad Zuhaib Akbar, Rehan Ahmed, Semeen Rehman, Axel Jantsch, Muhammad Shafique:
MemGANs: Memory Management for Energy-Efficient Acceleration of Complex Computations in Hardware Architectures for Generative Adversarial Networks. ISLPED 2019: 1-6 - [c160]Alberto Marchisio, Muhammad Abdullah Hanif, Faiq Khalid, George Plastiras, Christos Kyrkou, Theocharis Theocharides, Muhammad Shafique:
Deep Learning for Edge Computing: Current Trends, Cross-Layer Optimizations, and Open Research Challenges. ISVLSI 2019: 553-559 - [p6]Muhammad Abdullah Hanif, Rehan Hafiz, Muhammad Shafique:
Configurable Models and Design Space Exploration for Low-Latency Approximate Adders. Approximate Circuits 2019: 3-23 - [p5]Semeen Rehman, Bharath Srinivas Prabakaran, Walaa El-Harouni, Muhammad Shafique, Jörg Henkel:
Heterogeneous Approximate Multipliers: Architectures and Design Methodologies. Approximate Circuits 2019: 45-66 - [p4]Sana Mazahir, Muhammad Kamran Ayub, Osman Hasan, Muhammad Shafique:
Probabilistic Error Analysis of Approximate Adders and Multipliers. Approximate Circuits 2019: 99-120 - [p3]Bharath Srinivas Prabakaran, Walaa El-Harouni, Semeen Rehman, Muhammad Shafique:
Approximate Multi-Accelerator Tiled Architecture for Energy-Efficient Motion Estimation. Approximate Circuits 2019: 249-268 - [p2]Muhammad Abdullah Hanif, Muhammad Usama Javed, Rehan Hafiz, Semeen Rehman, Muhammad Shafique:
Hardware-Software Approximations for Deep Neural Networks. Approximate Circuits 2019: 269-288 - [e2]Sherief Reda, Muhammad Shafique:
Approximate Circuits, Methodologies and CAD. Springer 2019, ISBN 978-3-319-99321-8 [contents] - [i25]Hazoor Ahmad, Muhammad Tanvir, Muhammad Abdullah, Muhammad Usama Javed, Rehan Hafiz, Muhammad Shafique:
Systimator: A Design Space Exploration Methodology for Systolic Array based CNNs Acceleration on the FPGA-based Edge Nodes. CoRR abs/1901.04986 (2019) - [i24]Faiq Khalid, Syed Rafay Hasan, Osman Hasan, Falah Awwad, Muhammad Shafique:
SIMCom: Statistical Sniffing of Inter-Module Communications for Run-time Hardware Trojan Detection. CoRR abs/1901.07299 (2019) - [i23]Alberto Marchisio, Giorgio Nanfa, Faiq Khalid, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique:
CapsAttacks: Robust and Imperceptible Adversarial Attacks on Capsule Networks. CoRR abs/1901.09878 (2019) - [i22]Faiq Khalid, Hassan Ali, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, Muhammad Shafique:
RED-Attack: Resource Efficient Decision based Attack for Machine Learning. CoRR abs/1901.10258 (2019) - [i21]Alberto Marchisio, Giorgio Nanfa, Faiq Khalid, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique:
SNN under Attack: are Spiking Deep Belief Networks vulnerable to Adversarial Examples? CoRR abs/1902.01147 (2019) - [i20]Alberto Marchisio, Muhammad Shafique:
CapStore: Energy-Efficient Design and Management of the On-Chip Memory for CapsuleNet Inference Accelerators. CoRR abs/1902.01151 (2019) - [i19]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
ROMANet: Fine-Grained Reuse-Driven Data Organization and Off-Chip Memory Access Management for Deep Neural Network Accelerators. CoRR abs/1902.10222 (2019) - [i18]Vojtech Mrazek, Muhammad Abdullah Hanif, Zdenek Vasícek, Lukás Sekanina, Muhammad Shafique:
autoAx: An Automatic Design Space Exploration and Circuit Building Methodology utilizing Libraries of Approximate Components. CoRR abs/1902.10807 (2019) - [i17]Alberto Marchisio, Beatrice Bussolino, Alessio Colucci, Muhammad Abdullah Hanif, Maurizio Martina, Guido Masera, Muhammad Shafique:
X-TrainCaps: Accelerated Training of Capsule Nets through Lightweight Software Optimizations. CoRR abs/1905.10142 (2019) - [i16]Vojtech Mrazek, Zdenek Vasícek, Lukás Sekanina, Muhammad Abdullah Hanif, Muhammad Shafique:
ALWANN: Automatic Layer-Wise Approximation of Deep Neural Network Accelerators without Retraining. CoRR abs/1907.07229 (2019) - [i15]Alberto Marchisio, Vojtech Mrazek, Muhammad Abdullah Hanif, Muhammad Shafique:
ReD-CaNe: A Systematic Methodology for Resilience Analysis and Design of Capsule Networks under Approximations. CoRR abs/1912.00700 (2019) - [i14]Le Ha Hoang, Muhammad Abdullah Hanif, Muhammad Shafique:
FT-ClipAct: Resilience Analysis of Deep Neural Networks and Improving their Fault Tolerance using Clipped Activation. CoRR abs/1912.00941 (2019) - [i13]Mahum Naseer, Mishal Fatima Minhas, Faiq Khalid, Muhammad Abdullah Hanif, Osman Hasan, Muhammad Shafique:
FANNet: Formal Analysis of Noise Tolerance, Training Bias and Input Sensitivity in Neural Networks. CoRR abs/1912.01978 (2019) - 2018
- [j47]Heba Khdr, Santiago Pagani, Muhammad Shafique, Jörg Henkel:
Chapter Four - Dark Silicon Aware Resource Management for Many-Core Systems. Adv. Comput. 110: 127-170 (2018) - [j46]Imran Hafeez Abbassi, Faiq Khalid, Osman Hasan, Awais Mehmood Kamboh, Muhammad Shafique:
McSeVIC: A Model Checking Based Framework for Security Vulnerability Analysis of Integrated Circuits. IEEE Access 6: 32240-32257 (2018) - [j45]G. A. Gillani, Muhammad Abdullah Hanif, M. Krone, Sabih H. Gerez, Muhammad Shafique, André B. J. Kokkeler:
Squash: Approximate Square-Accumulate With Self-Healing. IEEE Access 6: 49112-49128 (2018) - [j44]Sana Mazahir, Osman Hasan, Muhammad Shafique:
Adaptive Approximate Computing in Arithmetic Datapaths. IEEE Des. Test 35(4): 65-74 (2018) - [j43]Mohammad Salehi, Alireza Ejlali, Muhammad Shafique:
Run-Time Adaptive Power-Aware Reliability Management for Manycores. IEEE Des. Test 35(5): 36-44 (2018) - [j42]Sai Manoj P. D., Axel Jantsch, Muhammad Shafique:
SmartDPM: Machine Learning-Based Dynamic Power Management for Multi-Core Microprocessors. J. Low Power Electron. 14(4): 460-474 (2018) - [j41]Muhammad Abdullah Hanif, Alberto Marchisio, Tabasher Arif, Rehan Hafiz, Semeen Rehman, Muhammad Shafique:
X-DNNs: Systematic Cross-Layer Approximations for Energy-Efficient Deep Neural Networks. J. Low Power Electron. 14(4): 520-534 (2018) - [j40]Omid Akbari, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram, Muhammad Shafique:
Toward Approximate Computing for Coarse-Grained Reconfigurable Architectures. IEEE Micro 38(6): 63-72 (2018) - [j39]Haeseung Lee, Muhammad Shafique, Mohammad Abdullah Al Faruque:
Aging-Aware Workload Management on Embedded GPU Under Process Variation. IEEE Trans. Computers 67(7): 920-933 (2018) - [j38]Anil Kanduri, Mohammad Hashem Haghbayan, Amir M. Rahmani, Muhammad Shafique, Axel Jantsch, Pasi Liljeberg:
adBoost: Thermal Aware Performance Boosting Through Dark Silicon Patterning. IEEE Trans. Computers 67(8): 1062-1077 (2018) - [j37]Dakai Zhu, Muhammad Shafique, Man Lin, Sudeep Pasricha:
Guest Editorial: Special Issue on Low-Power Dependable Computing. IEEE Trans. Sustain. Comput. 3(3): 137-138 (2018) - [c159]Paolo Selvo, Maurizio Masera, Riccardo Peloso, Guido Masera, Muhammad Shafique, Maurizio Martina:
An Optimized Partial-Distortion-Elimination Based Sum-of-Absolute-Differences Architecture for High-Efficiency-Video-Coding. ApplePies 2018: 245-251 - [c158]Anuj Pathania, Heba Khdr, Muhammad Shafique, Tulika Mitra, Jörg Henkel:
QoS-aware stochastic power management for many-cores. DAC 2018: 69:1-69:6 - [c157]Salim Ullah, Semeen Rehman, Bharath Srinivas Prabakaran, Florian Kriebel, Muhammad Abdullah Hanif, Muhammad Shafique, Akash Kumar:
Area-optimized low-latency approximate multipliers for FPGA-based hardware accelerators. DAC 2018: 159:1-159:6 - [c156]Marcelo Brandalero, Luigi Carro, Antonio Carlos Schneider Beck, Muhammad Shafique:
Approximate on-the-fly coarse-grained reconfigurable acceleration for general-purpose applications. DAC 2018: 160:1-160:6 - [c155]Omid Akbari, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram, Muhammad Shafique:
PX-CGRA: Polymorphic approximate coarse-grained reconfigurable architecture. DATE 2018: 413-418 - [c154]Mohammad Taghi Teimoori, Muhammad Abdullah Hanif, Alireza Ejlali, Muhammad Shafique:
AdAM: Adaptive approximation management for the non-volatile memory hierarchies. DATE 2018: 785-790 - [c153]Muhammad Shafique, Theocharis Theocharides, Christos-Savvas Bouganis, Muhammad Abdullah Hanif, Faiq Khalid, Rehan Hafiz, Semeen Rehman:
An overview of next-generation architectures for machine learning: Roadmap, opportunities and challenges in the IoT era. DATE 2018: 827-832 - [c152]Muhammad Abdullah Hanif, Rehan Hafiz, Muhammad Shafique:
Error resilience analysis for systematically employing approximate computing in convolutional neural networks. DATE 2018: 913-916 - [c151]Bharath Srinivas Prabakaran, Semeen Rehman, Muhammad Abdullah Hanif, Salim Ullah, Ghazal Mazaheri, Akash Kumar, Muhammad Shafique:
DeMAS: An efficient design methodology for building approximate adders for FPGA-based systems. DATE 2018: 917-920 - [c150]Vijeta Rathore, Vivek Chaturvedi, Amit Kumar Singh, Thambipillai Srikanthan, R. Rohith, Siew-Kei Lam, Muhammad Shafique:
HiMap: A hierarchical mapping approach for enhancing lifetime reliability of dark silicon manycore systems. DATE 2018: 991-996 - [c149]Jorge Castro-Godínez, Sven Esser, Muhammad Shafique, Santiago Pagani, Jörg Henkel:
Compiler-driven error analysis for designing approximate accelerators. DATE 2018: 1027-1032 - [c148]Muhammad Shafique, Faiq Khalid, Semeen Rehman:
Intelligent Security Measures for Smart Cyber Physical Systems. DSD 2018: 280-287 - [c147]Alberto Marchisio, Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
HW/SW co-design and co-optimizations for deep learning. INTESA@ESWEEK 2018: 13-18 - [c146]Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Muhammad Shafique:
Security for Machine Learning-Based Systems: Attacks and Challenges During Training and Inference. FIT 2018: 327-332 - [c145]Alberto Marchisio, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique:
PruNet: Class-Blind Pruning Method For Deep Neural Networks. IJCNN 2018: 1-8 - [c144]Semeen Rehman, Florian Kriebel, Bharath Srinivas Prabakaran, Faiq Khalid, Muhammad Shafique:
Hardware and Software Techniques for Heterogeneous Fault-Tolerance. IOLTS 2018: 115-118 - [c143]Muhammad Abdullah Hanif, Faiq Khalid, Rachmad Vidya Wicaksana Putra, Semeen Rehman, Muhammad Shafique:
Robust Machine Learning Systems: Reliability and Security for Deep Neural Networks. IOLTS 2018: 257-260 - [c142]Muluken Hailesellasie, Syed Rafay Hasan, Faiq Khalid, Falah Awwad, Muhammad Shafique:
FPGA-Based Convolutional Neural Network Architecture with Reduced Parameter Requirements. ISCAS 2018: 1-5 - [c141]Faiq Khalid, Sunil Nanjiani, Syed Rafay Hasan, Osman Hasan, Falah R. Awwad, Muhammad Shafique:
Low Power Digital Clock Multipliers for Battery-Operated Internet of Things (IoT) Devices. ISCAS 2018: 1-5 - [c140]Florian Kriebel, Semeen Rehman, Muhammad Abdullah Hanif, Faiq Khalid, Muhammad Shafique:
Robustness for Smart Cyber Physical Systems and Internet-of-Things: From Adaptive Robustness Methods to Reliability and Security for Machine Learning. ISVLSI 2018: 581-586 - [c139]Vanchinathan Venkataramani, Anuj Pathania, Muhammad Shafique, Tulika Mitra, Jörg Henkel:
Scalable Dynamic Task Scheduling on Adaptive Many-Core. MCSoC 2018: 168-175 - [c138]Alberto Paltrinieri, Riccardo Peloso, Guido Masera, Muhammad Shafique, Maurizio Martina:
Approximate-Computing Architectures for Motion Estimation in HEVC. NGCAS 2018: 190-193 - [i12]Denise Ratasich, Faiq Khalid, Florian Geissler, Radu Grosu, Muhammad Shafique, Ezio Bartocci:
A Roadmap Towards Resilient Internet of Things for Cyber-Physical Systems. CoRR abs/1810.06870 (2018) - [i11]Muhammad Abdullah Hanif, Rachmad Vidya Wicaksana Putra, Muhammad Tanvir, Rehan Hafiz, Semeen Rehman, Muhammad Shafique:
MPNA: A Massively-Parallel Neural Array Accelerator with Dataflow Optimization for Convolutional Neural Networks. CoRR abs/1810.12910 (2018) - [i10]Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Muhammad Shafique:
ISA4ML: Training Data-Unaware Imperceptible Security Attacks on Machine Learning Modules of Autonomous Vehicles. CoRR abs/1811.01031 (2018) - [i9]Hassan Ali, Hammad Tariq, Muhammad Abdullah Hanif, Faiq Khalid, Semeen Rehman, Rehan Ahmed, Muhammad Shafique:
QuSecNets: Quantization-based Defense Mechanism for Securing Deep Neural Network against Adversarial Attacks. CoRR abs/1811.01437 (2018) - [i8]Hammad Tariq, Hassan Ali, Muhammad Abdullah Hanif, Faiq Khalid, Semeen Rehman, Rehan Ahmed, Muhammad Shafique:
SSCNets: A Selective Sobel Convolution-based Technique to Enhance the Robustness of Deep Neural Networks against Security Attacks. CoRR abs/1811.01443 (2018) - [i7]Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Junaid Qadir, Muhammad Shafique:
FAdeML: Understanding the Impact of Pre-Processing Noise Filtering on Adversarial Machine Learning. CoRR abs/1811.01444 (2018) - [i6]Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Muhammad Shafique:
Security for Machine Learning-based Systems: Attacks and Challenges during Training and Inference. CoRR abs/1811.01463 (2018) - [i5]Alberto Marchisio, Muhammad Abdullah Hanif, Semeen Rehman, Maurizio Martina, Muhammad Shafique:
A Methodology for Automatic Selection of Activation Functions to Design Hybrid Deep Neural Networks. CoRR abs/1811.03980 (2018) - [i4]Bharath Srinivas Prabakaran, Mihika Dave, Semeen Rehman, Florian Kriebel, Muhammad Shafique:
Heterogeneous Reliability Modes with Efficient State Compression for Out-of-Order Superscalar Processors. CoRR abs/1811.07612 (2018) - [i3]Alberto Marchisio, Muhammad Abdullah Hanif, Muhammad Shafique:
CapsAcc: An Efficient Hardware Accelerator for CapsuleNets with Data Reuse. CoRR abs/1811.08932 (2018) - [i2]Imran Hafeez Abbassi, Faiq Khalid, Semeen Rehman, Awais Mehmood Kamboh, Axel Jantsch, Siddharth Garg, Muhammad Shafique:
TrojanZero: Switching Activity-Aware Design of Undetectable Hardware Trojans with Zero Power and Area Footprint. CoRR abs/1812.02770 (2018) - [i1]Faiq Khalid, Imran Hafeez Abbassi, Semeen Rehman, Osman Hasan, Muhammad Shafique:
ForASec: Formal Analysis of Security Vulnerabilities in Sequential Circuits. CoRR abs/1812.05446 (2018) - 2017
- [j36]Muhammad Shafique, Siddharth Garg, Vikas Chandra:
Guest Editors' Introduction: Computing in the Dark Silicon Era. IEEE Des. Test 34(2): 5-7 (2017) - [j35]Muhammad Shafique, Siddharth Garg:
Computing in the Dark Silicon Era: Current Trends and Research Challenges. IEEE Des. Test 34(2): 8-23 (2017) - [j34]Junaid Qadir, Arjuna Sathiaseelan, Umar Bin Farooq, Muhammad Usama, Muhammad Ali Imran, Muhammad Shafique:
Approximate Networking for Universal Internet Access. Future Internet 9(4): 94 (2017) - [j33]Muhammad Usama Sardar, Osman Hasan, Muhammad Shafique, Jörg Henkel:
Theorem proving based Formal Verification of Distributed Dynamic Thermal Management schemes. J. Parallel Distributed Comput. 100: 157-171 (2017) - [j32]Mateus Grellert, Bruno Zatt, Muhammad Shafique, Sergio Bampi, Jörg Henkel:
Complexity control of HEVC encoders targeting real-time constraints. J. Real Time Image Process. 13(1): 5-24 (2017) - [j31]Syed Ali Asadullah Bukhari, Faiq Khalid Lodhi, Osman Hasan, Muhammad Shafique, Jörg Henkel:
FAMe-TM: Formal analysis methodology for task migration algorithms in Many-Core systems. Sci. Comput. Program. 133: 154-174 (2017) - [j30]Anuj Pathania, Vanchinathan Venkataramani, Muhammad Shafique, Tulika Mitra, Jörg Henkel:
Defragmentation of Tasks in Many-Core Architecture. ACM Trans. Archit. Code Optim. 14(1): 2:1-2:21 (2017) - [j29]Santiago Pagani, Heba Khdr, Jian-Jia Chen, Muhammad Shafique, Minming Li, Jörg Henkel:
Thermal Safe Power (TSP): Efficient Power Budgeting for Heterogeneous Manycore Systems in Dark Silicon. IEEE Trans. Computers 66(1): 147-162 (2017) - [j28]Heba Khdr, Santiago Pagani, Éricles Sousa, Vahid Lari, Anuj Pathania, Frank Hannig, Muhammad Shafique, Jürgen Teich, Jörg Henkel:
Power Density-Aware Resource Management for Heterogeneous Tiled Multicores. IEEE Trans. Computers 66(3): 488-501 (2017) - [j27]Sana Mazahir, Osman Hasan, Rehan Hafiz, Muhammad Shafique, Jörg Henkel:
Probabilistic Error Modeling for Approximate Adders. IEEE Trans. Computers 66(3): 515-530 (2017) - [j26]Muhammad Shafique, Semeen Rehman, Florian Kriebel, Muhammad Usman Karim Khan, Bruno Zatt, Arun Subramaniyan, Bruno Boessio Vizzotto, Jörg Henkel:
Application-Guided Power-Efficient Fault Tolerance for H.264 Context Adaptive Variable Length Coding. IEEE Trans. Computers 66(4): 560-574 (2017) - [j25]Tuo Li, Muhammad Shafique, Jude Angelo Ambrose, Jörg Henkel, Sri Parameswaran:
Fine-Grained Checkpoint Recovery for Application-Specific Instruction-Set Processors. IEEE Trans. Computers 66(4): 647-660 (2017) - [j24]Sana Mazahir, Osman Hasan, Rehan Hafiz, Muhammad Shafique:
Probabilistic Error Analysis of Approximate Recursive Multipliers. IEEE Trans. Computers 66(11): 1982-1990 (2017) - [j23]Anuj Pathania, Vanchinathan Venkataramani, Muhammad Shafique, Tulika Mitra, Jörg Henkel:
Optimal Greedy Algorithm for Many-Core Scheduling. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 36(6): 1054-1058 (2017) - [j22]Santiago Pagani, Anuj Pathania, Muhammad Shafique, Jian-Jia Chen, Jörg Henkel:
Energy Efficiency for Clustered Heterogeneous Multicores. IEEE Trans. Parallel Distributed Syst. 28(5): 1315-1330 (2017) - [c137]Muhammad Abdullah Hanif, Rehan Hafiz, Osman Hasan, Muhammad Shafique:
QuAd: Design and Analysis of Quality-Area Optimal Low-Latency Approximate Adders. DAC 2017: 42:1-42:6 - [c136]Haeseung Lee, Muhammad Shafique, Mohammad Abdullah Al Faruque:
Low-overhead Aging-aware Resource Management on Embedded GPUs. DAC 2017: 67:1-67:6 - [c135]Muhammad Kamran Ayub, Osman Hasan, Muhammad Shafique:
Statistical Error Analysis for Low Power Approximate Adders. DAC 2017: 75:1-75:6 - [c134]Arun Subramaniyan, Semeen Rehman, Muhammad Shafique, Akash Kumar, Jörg Henkel:
Soft error-aware architectural exploration for designing reliability adaptive cache hierarchies in multi-cores. DATE 2017: 37-42 - [c133]Anuj Pathania, Heba Khdr, Muhammad Shafique, Tulika Mitra, Jörg Henkel:
Scalable probabilistic power budgeting for many-cores. DATE 2017: 864-869 - [c132]Anupam Chattopadhyay, Alok Prakash, Muhammad Shafique:
Secure Cyber-Physical Systems: Current trends, tools and open research problems. DATE 2017: 1104-1109 - [c131]Syed Ali Asadullah Bukhari, Faiq Khalid Lodhi, Osman Hasan, Muhammad Shafique, Jörg Henkel:
CAnDy-TM: Comparative analysis of dynamic thermal management in many-cores using model checking. DATE 2017: 1289-1292 - [c130]Walaa El-Harouni, Semeen Rehman, Bharath Srinivas Prabakaran, Akash Kumar, Rehan Hafiz, Muhammad Shafique:
Embracing approximate computing for energy-efficient motion estimation in high efficiency video coding. DATE 2017: 1384-1389 - [c129]Denise Ratasich, Oliver Höftberger, Haris Isakovic, Muhammad Shafique, Radu Grosu:
A Self-Healing Framework for Building Resilient Cyber-Physical Systems. ISORC 2017: 133-140 - [c128]Muhammad Shafique, Rehan Hafiz, Muhammad Usama Javed, Sarmad Abbas, Lukás Sekanina, Zdenek Vasícek, Vojtech Mrazek:
Adaptive and Energy-Efficient Architectures for Machine Learning: Challenges, Opportunities, and Research Roadmap. ISVLSI 2017: 627-632 - [p1]Santiago Pagani, Muhammad Shafique, Jörg Henkel:
Design Space Exploration and Run-Time Adaptation for Multicore Resource Management Under Performance and Power Constraints. Handbook of Hardware/Software Codesign 2017: 301-332 - 2016
- [b4]Semeen Rehman, Muhammad Shafique, Jörg Henkel:
Reliable Software for Unreliable Hardware - A Cross Layer Perspective. Springer 2016, ISBN 978-3-319-25770-9, pp. I-XXI, 1-237 - [j21]Florian Kriebel, Muhammad Shafique, Semeen Rehman, Jörg Henkel, Siddharth Garg:
Variability and Reliability Awareness in the Age of Dark Silicon. IEEE Des. Test 33(2): 59-67 (2016) - [j20]Semeen Rehman, Kuan-Hsun Chen, Florian Kriebel, Anas Toma, Muhammad Shafique, Jian-Jia Chen, Jörg Henkel:
Cross-Layer Software Dependability on Unreliable Hardware. IEEE Trans. Computers 65(1): 80-94 (2016) - [j19]Muhammad Shafique, Anton Ivanov, Benjamin Vogel, Jörg Henkel:
Scalable Power Management for On-Chip Systems with Malleable Applications. IEEE Trans. Computers 65(11): 3398-3412 (2016) - [j18]Kuan-Hsun Chen, Jian-Jia Chen, Florian Kriebel, Semeen Rehman, Muhammad Shafique, Jörg Henkel:
Task Mapping for Redundant Multithreading in Multi-Cores with Reliability and Performance Heterogeneity. IEEE Trans. Computers 65(11): 3441-3455 (2016) - [j17]Muhammad Shafique, Muhammad Usman Karim Khan, Jörg Henkel:
Content-Aware Low-Power Configurable Aging Mitigation for SRAM Memories. IEEE Trans. Computers 65(12): 3617-3630 (2016) - [j16]Amit Kumar Singh, Muhammad Shafique, Akash Kumar, Jörg Henkel:
Resource and Throughput Aware Execution Trace Analysis for Efficient Run-Time Mapping on MPSoCs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 35(1): 72-85 (2016) - [j15]Florian Kriebel, Semeen Rehman, Arun Subramaniyan, Segnon Jean Bruno Ahandagbe, Muhammad Shafique, Jörg Henkel:
Reliability-Aware Adaptations for Shared Last-Level Caches in Multi-Cores. ACM Trans. Embed. Comput. Syst. 15(4): 67:1-67:26 (2016) - [j14]Muhammad Usman Karim Khan, Muhammad Shafique, Jörg Henkel:
Power-Efficient Workload Balancing for Video Applications. IEEE Trans. Very Large Scale Integr. Syst. 24(6): 2089-2102 (2016) - [j13]Mohammad Salehi, Mohammad Khavari Tavana, Semeen Rehman, Muhammad Shafique, Alireza Ejlali, Jörg Henkel:
Two-State Checkpointing for Energy-Efficient Fault Tolerance in Hard Real-Time Systems. IEEE Trans. Very Large Scale Integr. Syst. 24(7): 2426-2437 (2016) - [j12]Amit Kumar Singh, Muhammad Shafique, Akash Kumar, Jörg Henkel:
Analysis and Mapping for Thermal and Energy Efficiency of 3-D Video Processing on 3-D Multicore Processors. IEEE Trans. Very Large Scale Integr. Syst. 24(8): 2745-2758 (2016) - [c127]Paul Bogdan, Partha Pratim Pande, Hussam Amrouch, Muhammad Shafique, Jörg Henkel:
Power and thermal management in massive multicore chips: theoretical foundation meets architectural innovation and resource allocation. CASES 2016: 4:1-4:2 - [c126]Florian Kriebel, Semeen Rehman, Muhammad Shafique, Jörg Henkel:
ageOpt-RMT: compiler-driven variation-aware aging optimization for redundant multithreading. DAC 2016: 46:1-46:6 - [c125]Alok Prakash, Hussam Amrouch, Muhammad Shafique, Tulika Mitra, Jörg Henkel:
Improving mobile gaming performance through cooperative CPU-GPU thermal management. DAC 2016: 47:1-47:6 - [c124]Sana Mazahir, Osman Hasan, Rehan Hafiz, Muhammad Shafique, Jörg Henkel:
An area-efficient consolidated configurable error correction for approximate hardware accelerators. DAC 2016: 96:1-96:6 - [c123]Muhammad Shafique, Rehan Hafiz, Semeen Rehman, Walaa El-Harouni, Jörg Henkel:
Invited - Cross-layer approximate computing: from logic to architectures. DAC 2016: 99:1-99:6 - [c122]Anuj Pathania, Vanchinathan Venkataramani, Muhammad Shafique, Tulika Mitra, Jörg Henkel:
Distributed scheduling for many-cores using cooperative game theory. DAC 2016: 133:1-133:6 - [c121]Jörg Henkel, Santiago Pagani, Heba Khdr, Florian Kriebel, Semeen Rehman, Muhammad Shafique:
Towards performance and reliability-efficient computing in the dark silicon era. DATE 2016: 1-6 - [c120]Anuj Pathania, Vanchinathan Venkataramani, Muhammad Shafique, Tulika Mitra, Jörg Henkel:
Distributed fair scheduling for many-cores. DATE 2016: 379-384 - [c119]Shafaq Iqtedar, Osman Hasan, Muhammad Shafique, Jörg Henkel:
Formal probabilistic analysis of distributed resource management schemes in on-chip systems. DATE 2016: 930-935 - [c118]Daniel Palomino, Muhammad Shafique, Altamiro Amadeu Susin, Jörg Henkel:
Thermal optimization using adaptive approximate computing for video coding. DATE 2016: 1207-1212 - [c117]Muhammad Usman Karim Khan, Muhammad Shafique, Apratim Gupta, Thomas Schumann, Jörg Henkel:
Power-efficient load-balancing on heterogeneous computing platforms. DATE 2016: 1469-1472 - [c116]Semeen Rehman, Walaa El-Harouni, Muhammad Shafique, Akash Kumar, Jörg Henkel:
Architectural-space exploration of approximate multipliers. ICCAD 2016: 80 - [c115]Muhammad Shafique, Semeen Rehman, Florian Kriebel, Jörg Henkel:
Cross-Layer Reliability Modeling and Optimization: Compiler and Run-Time System Interactions. SCOPES 2016: 2-5 - [e1]Muhammad Shafique, Sander Stuijk, Hyunok Oh, Todor P. Stefanov:
Proceedings of the 14th ACM/IEEE Symposium on Embedded Systems for Real-Time Multimedia, ESTIMedia 2016, Pittsburgh, PA, USA, October 6-7, 2016. ACM 2016, ISBN 978-1-4503-4543-9 [contents] - 2015
- [j11]Muhammad Shafique, Philip Axer, Christoph Borchert, Jian-Jia Chen, Kuan-Hsun Chen, Björn Döbel, Rolf Ernst, Hermann Härtig, Andreas Heinig, Rüdiger Kapitza, Florian Kriebel, Daniel Lohmann, Peter Marwedel, Semeen Rehman, Florian Schmoll, Olaf Spinczyk:
Multi-layer software reliability for unreliable hardware. it Inf. Technol. 57(3): 170-180 (2015) - [j10]Cláudio Machado Diniz, Muhammad Shafique, Sergio Bampi, Jörg Henkel:
A Reconfigurable Hardware Architecture for Fractional Pixel Interpolation in High Efficiency Video Coding. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 34(2): 238-251 (2015) - [j9]Muhammad Usman Karim Khan, Muhammad Shafique, Lars Bauer, Jörg Henkel:
Multicast FullHD H.264 Intra Video Encoder Architecture. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 34(12): 2049-2053 (2015) - [c114]Xi Zhang, Haris Javaid, Muhammad Shafique, Jude Angelo Ambrose, Jörg Henkel, Sri Parameswaran:
ADAPT: An adaptive manycore methodology for software pipelined applications. ASP-DAC 2015: 701-706 - [c113]Felipe Sampaio, Muhammad Shafique, Bruno Zatt, Sergio Bampi, Jörg Henkel:
Approximation-aware Multi-Level Cells STT-RAM cache architecture. CASES 2015: 79-88 - [c112]Florian Kriebel, Arun Subramaniyan, Semeen Rehman, Segnon Jean Bruno Ahandagbe, Muhammad Shafique, Jörg Henkel:
R2Cache: Reliability-aware reconfigurable last-level cache architecture for multi-cores. CODES+ISSS 2015: 1-10 - [c111]Mohammad Salehi, Muhammad Shafique, Florian Kriebel, Semeen Rehman, Mohammad Khavari Tavana, Alireza Ejlali, Jörg Henkel:
dsReliM: Power-constrained reliability management in Dark-Silicon many-core chips under process variations. CODES+ISSS 2015: 75-82 - [c110]Santiago Pagani, Muhammad Shafique, Heba Khdr, Jian-Jia Chen, Jörg Henkel:
seBoost: Selective boosting for heterogeneous manycores. CODES+ISSS 2015: 104-113 - [c109]Haseeb Bokhari, Haris Javaid, Muhammad Shafique, Jörg Henkel, Sri Parameswaran:
SuperNet: multimode interconnect architecture for manycore chips. DAC 2015: 85:1-85:6 - [c108]Muhammad Shafique, Waqas Ahmad, Rehan Hafiz, Jörg Henkel:
A low latency generic accuracy configurable adder. DAC 2015: 86:1-86:6 - [c107]Muhammad Shafique, Muhammad Usman Karim Khan, Adnan Orcun Tüfek, Jörg Henkel:
EnAAM: energy-efficient anti-aging for on-chip video memories. DAC 2015: 101:1-101:6 - [c106]Jörg Henkel, Heba Khdr, Santiago Pagani, Muhammad Shafique:
New trends in dark silicon. DAC 2015: 119:1-119:6 - [c105]Heba Khdr, Santiago Pagani, Muhammad Shafique, Jörg Henkel:
Thermal constrained resource management for mixed ILP-TLP workloads in dark silicon chips. DAC 2015: 179:1-179:6 - [c104]Dennis Gnad, Muhammad Shafique, Florian Kriebel, Semeen Rehman, Duo Sun, Jörg Henkel:
Hayat: harnessing dark silicon and variability for aging deceleration and balancing. DAC 2015: 180:1-180:6 - [c103]Xi Zhang, Haris Javaid, Muhammad Shafique, Jorgen Peddersen, Jörg Henkel, Sri Parameswaran:
E-pipeline: elastic hardware/software pipelines on a many-core fabric. DATE 2015: 363-368 - [c102]Muhammad Shafique, Dennis Gnad, Siddharth Garg, Jörg Henkel:
Variability-aware dark silicon management in on-chip many-core systems. DATE 2015: 387-392 - [c101]Florian Kriebel, Semeen Rehman, Duo Sun, Pau Vilimelis Aceituno, Muhammad Shafique, Jörg Henkel:
ACSEM: accuracy-configurable fast soft error masking analysis in combinatorial circuits. DATE 2015: 824-829 - [c100]Muhammad Usman Karim Khan, Muhammad Shafique, Jörg Henkel:
Power-efficient accelerator allocation in adaptive dark silicon many-core systems. DATE 2015: 916-919 - [c99]Shafaq Iqtedar, Osman Hasan, Muhammad Shafique, Jörg Henkel:
Formal probabilistic analysis of distributed dynamic thermal management. DATE 2015: 1221-1224 - [c98]Haseeb Bokhari, Haris Javaid, Muhammad Shafique, Jörg Henkel, Sri Parameswaran:
Malleable NoC: dark silicon inspired adaptable Network-on-Chip. DATE 2015: 1245-1248 - [c97]Cláudio Machado Diniz, Muhammad Shafique, Felipe Vogel Dalcin, Sergio Bampi, Jörg Henkel:
A deblocking filter hardware architecture for the high efficiency video coding standard. DATE 2015: 1509-1514 - [c96]Santiago Pagani, Jian-Jia Chen, Muhammad Shafique, Jörg Henkel:
MatEx: efficient transient and peak temperature computation for compact thermal models. DATE 2015: 1515-1520 - [c95]Hyunok Oh, Muhammad Shafique, Todor P. Stefanov, Maurizio Palesi:
Message from the Chairs. ESTIMedia 2015: 1 - [c94]Santiago Pagani, Jian-Jia Chen, Muhammad Shafique, Jörg Henkel:
Thermal-aware power budgeting for dark silicon chips. IGSC 2015: 1-6 - [c93]Muhammad Shafique, Jörg Henkel:
Mitigating the Power Density and Temperature Problems in the Nano-Era. ICCAD 2015: 176-177 - [c92]Jörg Henkel, Muhammad Usman Karim Khan, Muhammad Shafique:
Energy-efficient multimedia systems for high efficiency video coding. ISCAS 2015: 613-616 - [c91]Muhammad Usman Karim Khan, Muhammad Shafique, Jörg Henkel:
Hierarchical power budgeting for Dark Silicon chips. ISLPED 2015: 213-218 - [c90]Mohammad Salehi, Mohammad Khavari Tavana, Semeen Rehman, Florian Kriebel, Muhammad Shafique, Alireza Ejlali, Jörg Henkel:
DRVS: Power-efficient reliability management through Dynamic Redundancy and Voltage Scaling under variations. ISLPED 2015: 225-230 - [c89]Anuj Pathania, Santiago Pagani, Muhammad Shafique, Jörg Henkel:
Power management for mobile games on asymmetric multi-cores. ISLPED 2015: 243-248 - [c88]Jörg Henkel, Haseeb Bokhari, Siddharth Garg, Muhammad Usman Karim Khan, Heba Khdr, Florian Kriebel, Ümit Y. Ogras, Sri Parameswaran, Muhammad Shafique:
Dark Silicon: From Computation to Communication. NOCS 2015: 23:1-23:8 - [c87]Shafaq Iqtedar, Osman Hasan, Muhammad Shafique, Jörg Henkel:
Probabilistic Formal Verification Methodology for Decentralized Thermal Management in On-Chip Systems. WETICE 2015: 210-215 - 2014
- [j8]Andreas Herkersdorf, Hananeh Aliee, Michael Engel, Michael Glaß, Christina Gimmler-Dumont, Jörg Henkel, Veit Kleeberger, Michael A. Kochte, Johannes Maximilian Kühn, Daniel Mueller-Gritschneder, Sani R. Nassif, Holm Rauchfuss, Wolfgang Rosenstiel, Ulf Schlichtmann, Muhammad Shafique, Mehdi Baradaran Tahoori, Jürgen Teich, Norbert Wehn, Christian Weis, Hans-Joachim Wunderlich:
Resilience Articulation Point (RAP): Cross-layer dependability modeling for nanometer system-on-chip resilience. Microelectron. Reliab. 54(6-7): 1066-1074 (2014) - [j7]Muhammad Shafique, Lars Bauer, Jörg Henkel:
Adaptive Energy Management for Dynamically Reconfigurable Processors. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 33(1): 50-63 (2014) - [j6]Haris Javaid, Muhammad Shafique, Jörg Henkel, Sri Parameswaran:
Energy-Efficient Adaptive Pipelined MPSoCs for Multimedia Applications. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 33(5): 663-676 (2014) - [j5]Semeen Rehman, Florian Kriebel, Muhammad Shafique, Jörg Henkel:
Reliability-Driven Software Transformations for Unreliable Hardware. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 33(11): 1597-1610 (2014) - [c86]Muhammad Shafique, Jörg Henkel:
Low power design of the next-generation High Efficiency Video Coding. ASP-DAC 2014: 274-281 - [c85]Santiago Pagani, Heba Khdr, Waqaas Munawar, Jian-Jia Chen, Muhammad Shafique, Minming Li, Jörg Henkel:
TSP: Thermal Safe Power - Efficient power budgeting for many-core systems in dark silicon. CODES+ISSS 2014: 10:1-10:10 - [c84]Muhammad Shafique, Siddharth Garg, Tulika Mitra, Sri Parameswaran, Jörg Henkel:
Dark silicon as a challenge for hardware/software co-design. CODES+ISSS 2014: 13:1-13:10 - [c83]Florian Kriebel, Semeen Rehman, Duo Sun, Muhammad Shafique, Jörg Henkel:
ASER: Adaptive Soft Error Resilience for Reliability-Heterogeneous Processors in the Dark Silicon Era. DAC 2014: 12:1-12:6 - [c82]Jörg Henkel, Lars Bauer, Hongyan Zhang, Semeen Rehman, Muhammad Shafique:
Multi-Layer Dependability: From Microarchitecture to Application Level. DAC 2014: 47:1-47:6 - [c81]Semeen Rehman, Florian Kriebel, Duo Sun, Muhammad Shafique, Jörg Henkel:
dTune: Leveraging Reliable Code Generation for Adaptive Dependability Tuning under Process Variation and Aging-Induced Effects. DAC 2014: 84:1-84:6 - [c80]Haseeb Bokhari, Haris Javaid, Muhammad Shafique, Jörg Henkel, Sri Parameswaran:
darkNoC: Designing Energy-Efficient Network-on-Chip with Multi-Vt Cells for Dark Silicon. DAC 2014: 161:1-161:6 - [c79]Muhammad Shafique, Siddharth Garg, Jörg Henkel, Diana Marculescu:
The EDA Challenges in the Dark Silicon Era: Temperature, Reliability, and Variability Perspectives. DAC 2014: 185:1-185:6 - [c78]Muhammad Usman Karim Khan, Muhammad Shafique, Jörg Henkel:
Software architecture of High Efficiency Video Coding for many-core systems with power-efficient workload balancing. DATE 2014: 1-6 - [c77]Heba Khdr, Thomas Ebi, Muhammad Shafique, Hussam Amrouch, Jörg Henkel:
mDTM: Multi-objective dynamic thermal management for on-chip systems. DATE 2014: 1-6 - [c76]Daniel Palomino, Muhammad Shafique, Hussam Amrouch, Altamiro Amadeu Susin, Jörg Henkel:
hevcDTM: Application-driven Dynamic Thermal Management for High Efficiency Video Coding. DATE 2014: 1-4 - [c75]Semeen Rehman, Florian Kriebel, Muhammad Shafique, Jörg Henkel:
Compiler-driven dynamic reliability management for on-chip systems under variabilities. DATE 2014: 1-4 - [c74]Felipe Sampaio, Muhammad Shafique, Bruno Zatt, Sergio Bampi, Jörg Henkel:
dSVM: Energy-efficient distributed Scratchpad Video Memory Architecture for the next-generation High Efficiency Video Coding. DATE 2014: 1-6 - [c73]Jian-Jia Chen, Muhammad Shafique:
Embedded software reliability for unreliable hardware. EMSOFT 2014: 4:1 - [c72]Cláudio Machado Diniz, Muhammad Shafique, Sergio Bampi, Jörg Henkel:
Run-time accelerator binding for tile-based mixed-grained reconfigurable architectures. FPL 2014: 1-4 - [c71]Syed Ali Asadullah Bukhari, Faiq Khalid Lodhi, Osman Hasan, Muhammad Shafique, Jörg Henkel:
Formal Verification of Distributed Task Migration for Thermal Management in On-Chip Multi-core Systems Using nuXmv. FTSCS 2014: 32-46 - [c70]Felipe Sampaio, Muhammad Shafique, Bruno Zatt, Sergio Bampi, Jörg Henkel:
Energy-efficient architecture for advanced video memory. ICCAD 2014: 132-139 - [c69]Muhammad Shafique, Muhammad Usman Karim Khan, Jörg Henkel:
Power efficient and workload balanced tiling for parallelized high efficiency video coding. ICIP 2014: 1253-1257 - [c68]Muhammad Usman Karim Khan, Muhammad Shafique, Jörg Henkel:
Fast hierarchical intra angular mode selection for high efficiency video coding. ICIP 2014: 3681-3685 - [c67]Waqaas Munawar, Heba Khdr, Santiago Pagani, Muhammad Shafique, Jian-Jia Chen, Jörg Henkel:
Peak Power Management for scheduling real-time tasks on heterogeneous many-core systems. ICPADS 2014: 200-209 - [c66]Daniel Palomino, Muhammad Shafique, Altamiro Amadeu Susin, Jörg Henkel:
TONE: adaptive temperature optimization for the next generation video encoders. ISLPED 2014: 33-38 - [c65]Felipe Martin Sampaio, Muhammad Shafique, Bruno Zatt, Sergio Bampi, Jörg Henkel:
Content-driven memory pressure balancing and video memory power management for parallel high efficiency video coding. ISLPED 2014: 153-158 - [c64]Saad Shoaib, Rehan Hafiz, Muhammad Shafique:
Hardware/Software Co-design of Embedded Real-Time KD-Tree Based Feature Matching Systems. ISVC (2) 2014: 936-945 - 2013
- [b3]Bruno Zatt, Muhammad Shafique, Sergio Bampi, Jörg Henkel:
3D Video Coding for Embedded Devices - Energy Efficient Algorithms and Architectures. Springer 2013, ISBN 978-1-4614-6758-8, pp. I-XIX, 1-204 - [j4]Bruno Boessio Vizzotto, Bruno Zatt, Muhammad Shafique, Sergio Bampi, Jörg Henkel:
Model Predictive Hierarchical Rate Control With Markov Decision Process for Multiview Video Coding. IEEE Trans. Circuits Syst. Video Technol. 23(12): 2090-2104 (2013) - [c63]Amit Kumar Singh, Muhammad Shafique, Akash Kumar, Jörg Henkel:
Mapping on multi/many-core systems: survey of current and emerging trends. DAC 2013: 1:1-1:10 - [c62]Muhammad Shafique, Semeen Rehman, Pau Vilimelis Aceituno, Jörg Henkel:
Exploiting program-level masking and error propagation for constrained reliability optimization. DAC 2013: 17:1-17:9 - [c61]Tuo Li, Muhammad Shafique, Jude Angelo Ambrose, Semeen Rehman, Jörg Henkel, Sri Parameswaran:
RASTER: runtime adaptive spatial/temporal error resiliency for embedded processors. DAC 2013: 62:1-62:7 - [c60]Jörg Henkel, Lars Bauer, Nikil D. Dutt, Puneet Gupta, Sani R. Nassif, Muhammad Shafique, Mehdi Baradaran Tahoori, Norbert Wehn:
Reliable on-chip systems in the nano-era: lessons learnt and future trends. DAC 2013: 99:1-99:10 - [c59]Muhammad Shafique, Benjamin Vogel, Jörg Henkel:
Self-adaptive hybrid dynamic power management for many-core systems. DATE 2013: 51-56 - [c58]Muhammad Usman Karim Khan, Jan Micha Borrmann, Lars Bauer, Muhammad Shafique, Jörg Henkel:
An H.264 Quad-FullHD low-latency intra video encoder. DATE 2013: 115-120 - [c57]Muhammad Usman Karim Khan, Muhammad Shafique, Mateus Grellert, Jörg Henkel:
Hardware-software collaborative complexity reduction scheme for the emerging HEVC intra encoder. DATE 2013: 125-128 - [c56]Felipe Sampaio, Bruno Zatt, Muhammad Shafique, Luciano Volcan Agostini, Sergio Bampi, Jörg Henkel:
Energy-efficient memory hierarchy for motion and disparity estimation in multiview video coding. DATE 2013: 665-670 - [c55]Tuo Li, Muhammad Shafique, Semeen Rehman, Swarnalatha Radhakrishnan, Roshan G. Ragel, Jude Angelo Ambrose, Jörg Henkel, Sri Parameswaran:
CSER: HW/SW configurable soft-error resiliency for application specific instruction-set processors. DATE 2013: 707-712 - [c54]Semeen Rehman, Muhammad Shafique, Pau Vilimelis Aceituno, Florian Kriebel, Jian-Jia Chen, Jörg Henkel:
Leveraging variable function resilience for selective software reliability on unreliable hardware. DATE 2013: 1759-1764 - [c53]Muhammad Shafique, Jörg Henkel:
Agent-based distributed power management for kilo-core processors. ICCAD 2013: 153-160 - [c52]Muhammad Ismail, Osman Hasan, Thomas Ebi, Muhammad Shafique, Jörg Henkel:
Formal verification of distributed dynamic thermal management. ICCAD 2013: 248-255 - [c51]Muhammad Usman Karim Khan, Muhammad Shafique, Jörg Henkel:
AMBER: adaptive energy management for on-chip hybrid video memories. ICCAD 2013: 405-412 - [c50]Tuo Li, Muhammad Shafique, Semeen Rehman, Jude Angelo Ambrose, Jörg Henkel, Sri Parameswaran:
DHASER: dynamic heterogeneous adaptation for soft-error resiliency in ASIP-based multi-core systems. ICCAD 2013: 646-653 - [c49]Rana Muhammad Bilal, Rehan Hafiz, Muhammad Shafique, Saad Shoaib, Asim Munawar, Jörg Henkel:
ISOMER: integrated selection, partitioning, and placement methodology for reconfigurable architectures. ICCAD 2013: 755-762 - [c48]Muhammad Usman Karim Khan, Muhammad Shafique, Jörg Henkel:
An adaptive complexity reduction scheme with fast prediction unit decision for HEVC intra encoding. ICIP 2013: 1578-1582 - [c47]Felipe Sampaio, Bruno Zatt, Muhammad Shafique, Luciano Volcan Agostini, Jörg Henkel, Sergio Bampi:
Content-adaptive reference frame compression based on intra-frame prediction for multiview video coding. ICIP 2013: 1831-1835 - [c46]Mateus Grellert, Muhammad Shafique, Muhammad Usman Karim Khan, Luciano Volcan Agostini, Júlio C. B. de Mattos, Jörg Henkel:
An adaptive workload management scheme for HEVC encoding. ICIP 2013: 1850-1854 - [c45]Cláudio Machado Diniz, Muhammad Shafique, Sergio Bampi, Jörg Henkel:
High-throughput interpolation hardware architecture with coarse-grained reconfigurable datapaths for HEVC. ICIP 2013: 2091-2095 - [c44]Muhammad Shafique, Muhammad Usman Karim Khan, Jörg Henkel:
Content-driven adaptive computation offloading for energy-aware hybrid distributed video coding. ISLPED 2013: 106-113 - [c43]Daniel Palomino, Eduardo Cavichioli, Altamiro Amadeu Susin, Luciano Volcan Agostini, Muhammad Shafique, Jörg Henkel:
Fast HEVC intra mode decision algorithm based on new evaluation order in the Coding Tree Block. PCS 2013: 209-212 - [c42]Semeen Rehman, Anas Toma, Florian Kriebel, Muhammad Shafique, Jian-Jia Chen, Jörg Henkel:
Reliable code generation and execution on unreliable hardware under joint functional and timing reliability considerations. IEEE Real-Time and Embedded Technology and Applications Symposium 2013: 273-282 - 2012
- [j3]Maurizio Martina, Muhammad Shafique, Andrey Norkin:
VLSI Circuits, Systems, and Architectures for Advanced Image and Video Compression Standards. VLSI Design 2012: 102585:1-102585:3 (2012) - [c41]Semeen Rehman, Muhammad Shafique, Florian Kriebel, Jörg Henkel:
RAISE: Reliability-Aware Instruction SchEduling for unreliable hardware. ASP-DAC 2012: 671-676 - [c40]Muhammad Usman Karim Khan, Muhammad Shafique, Jörg Henkel:
A hierarchical control scheme for energy quota distribution in hybrid distributed video coding. CODES+ISSS 2012: 483-492 - [c39]Muhammad Shafique, Bruno Zatt, Fabio Leandro Walter, Sergio Bampi, Jörg Henkel:
Adaptive power management of on-chip video memory for multiview video coding. DAC 2012: 866-875 - [c38]Semeen Rehman, Muhammad Shafique, Jörg Henkel:
Instruction scheduling for reliability-aware compilation. DAC 2012: 1292-1300 - [c37]Muhammad Shafique, Bruno Zatt, Semeen Rehman, Florian Kriebel, Jörg Henkel:
Power-efficient error-resiliency for H.264/AVC Context-Adaptive Variable Length Coding. DATE 2012: 697-702 - [c36]Lars Bauer, Artjom Grudnitsky, Muhammad Shafique, Jörg Henkel:
PATS: A Performance Aware Task Scheduler for Runtime Reconfigurable Processors. FCCM 2012: 208-215 - [c35]Bruno Boessio Vizzotto, Bruno Zatt, Muhammad Shafique, Sergio Bampi, Jörg Henkel:
A Model Predictive Controller for Frame-Level Rate Control in Multiview Video Coding. ICME 2012: 485-490 - [c34]Muhammad Shafique, Bruno Zatt, Jörg Henkel:
A complexity reduction scheme with adaptive search direction and mode elimination for multiview video coding. PCS 2012: 105-108 - 2011
- [b2]Muhammad Shafique, Jörg Henkel:
Hardware/Software Architectures for Low-Power Embedded Multimedia Systems. Springer 2011, ISBN 978-1-4419-9691-6, pp. I-XXI, 1-223 - [b1]Muhammad Shafique:
Architectures for adaptive low-power embedded multimedia systems. Karlsruhe Institute of Technology, 2011 - [c33]Lars Bauer, Muhammad Shafique, Jörg Henkel:
Concepts, architectures, and run-time systems for efficient and adaptive reconfigurable processors. AHS 2011: 80-87 - [c32]Semeen Rehman, Muhammad Shafique, Florian Kriebel, Jörg Henkel:
Reliable software for unreliable hardware: embedded code generation aiming at reliability. CODES+ISSS 2011: 237-246 - [c31]Waheed Ahmed, Muhammad Shafique, Lars Bauer, Jörg Henkel:
Adaptive resource management for simultaneous multitasking in mixed-grained reconfigurable multi-core processors. CODES+ISSS 2011: 365-374 - [c30]Bruno Zatt, Muhammad Shafique, Felipe Sampaio, Luciano Volcan Agostini, Sergio Bampi, Jörg Henkel:
Run-time adaptive energy-aware motion and disparity estimation in multiview video coding. DAC 2011: 1026-1031 - [c29]Haris Javaid, Muhammad Shafique, Sri Parameswaran, Jörg Henkel:
Low-power adaptive pipelined MPSoCs for multimedia: an H.264 video encoder case study. DAC 2011: 1032-1037 - [c28]Muhammad Shafique, Lars Bauer, Waheed Ahmed, Jörg Henkel:
Minority-Game-based resource allocation for run-time reconfigurable multi-core processors. DATE 2011: 1261-1266 - [c27]Bruno Zatt, Muhammad Shafique, Sergio Bampi, Jörg Henkel:
Multi-level pipelined parallel hardware architecture for high throughput motion and disparity estimation in Multiview Video Coding. DATE 2011: 1448-1453 - [c26]Waheed Ahmed, Muhammad Shafique, Lars Bauer, Jörg Henkel:
mRTS: Run-time system for reconfigurable processors with multi-grained instruction-set extensions. DATE 2011: 1554-1559 - [c25]Waheed Ahmed, Muhammad Shafique, Lars Bauer, Manuel Hammerich, Jörg Henkel, Jürgen Becker:
Run-Time Resource Allocation for Simultaneous Multi-tasking in Multi-core Reconfigurable Processors. FCCM 2011: 29-32 - [c24]Bruno Zatt, Muhammad Shafique, Sergio Bampi, Jörg Henkel:
A low-power memory architecture with application-aware power management for motion & disparity estimation in Multiview Video Coding. ICCAD 2011: 40-47 - [c23]Haris Javaid, Muhammad Shafique, Jörg Henkel, Sri Parameswaran:
System-level application-aware dynamic power management in adaptive pipelined MPSoCs for multimedia. ICCAD 2011: 616-623 - [c22]Muhammad Shafique, Adnan Orcun Tüfek, Jörg Henkel:
A high-throughput parallel hardware architecture for H.264/AVC CAVLC encoding. ICIP 2011: 393-396 - [c21]Semeen Rehman, Muhammad Shafique, Florian Kriebel, Jörg Henkel:
Revc: Computationally Reliable Video Coding on unreliable hardware platforms: A case study on error-tolerant H.264/AVC CAVLC entropy coding. ICIP 2011: 397-400 - [c20]Bruno Zatt, Muhammad Shafique, Sergio Bampi, Jörg Henkel:
A multi-level dynamic complexity reduction scheme for multiview video coding. ICIP 2011: 749-752 - 2010
- [j2]Muhammad Shafique, Lars Bauer, Jörg Henkel:
Optimizing the H.264/AVC Video Encoder Application Structure for Reconfigurable and Application-Specific Platforms. J. Signal Process. Syst. 60(2): 183-210 (2010) - [c19]Ralf König, Lars Bauer, Timo Stripf, Muhammad Shafique, Waheed Ahmed, Jürgen Becker, Jörg Henkel:
KAHRISMA: A novel Hypermorphic Reconfigurable-Instruction-Set Multi-grained-Array architecture. DATE 2010: 819-824 - [c18]Muhammad Shafique, Bastian Molkenthin, Jörg Henkel:
An HVS-based Adaptive Computational Complexity Reduction Scheme for H.264/AVC video encoder using Prognostic Early Mode Exclusion. DATE 2010: 1713-1718 - [c17]Muhammad Shafique, Lars Bauer, Jörg Henkel:
enBudget: A Run-Time Adaptive Predictive Energy-Budgeting scheme for energy-aware Motion Estimation in H.264/MPEG-4 AVC video encoder. DATE 2010: 1725-1730 - [c16]Muhammad Shafique, Lars Bauer, Jörg Henkel:
Selective instruction set muting for energy-aware adaptive processors. ICCAD 2010: 353-360 - [c15]Bruno Zatt, Muhammad Shafique, Sergio Bampi, Jörg Henkel:
An adaptive early skip mode decision scheme for multiview video coding. PCS 2010: 42-45 - [c14]Muhammad Shafique, Bruno Zatt, Sergio Bampi, Jörg Henkel:
Power-aware complexity-scalable multiview video coding for mobile devices. PCS 2010: 350-353
2000 – 2009
- 2009
- [c13]Lars Bauer, Muhammad Shafique, Jörg Henkel:
MinDeg: a performance-guided replacement policy for run-time reconfigurable accelerators. CODES+ISSS 2009: 335-342 - [c12]Lars Bauer, Muhammad Shafique, Jörg Henkel:
Cross-architectural design space exploration tool for reconfigurable processors. DATE 2009: 958-963 - [c11]Muhammad Shafique, Lars Bauer, Jörg Henkel:
A parallel approach for high performance hardware design of intra prediction in H.264/AVC Video Codec. DATE 2009: 1434-1439 - [c10]Lars Bauer, Muhammad Shafique, Jörg Henkel:
RISPP: A run-time adaptive reconfigurable embedded processor. FPL 2009: 725-726 - [c9]Muhammad Shafique, Lars Bauer, Jörg Henkel:
REMiS: Run-time energy minimization scheme in a reconfigurable processor with dynamic power-gated instruction set. ICCAD 2009: 55-62 - [c8]Muhammad Shafique, Bastian Molkenthin, Jörg Henkel:
Non-linear rate control for H.264/AVC video encoder with multiple picture types using image-statistics and motion-based Macroblock Prioritization. ICIP 2009: 3429-3432 - 2008
- [j1]Lars Bauer, Muhammad Shafique, Jörg Henkel:
Efficient Resource Utilization for an Extensible Processor Through Dynamic Instruction Set Adaptation. IEEE Trans. Very Large Scale Integr. Syst. 16(10): 1295-1308 (2008) - [c7]Lars Bauer, Muhammad Shafique, Jörg Henkel:
Run-time instruction set selection in a transmutable embedded processor. DAC 2008: 56-61 - [c6]Lars Bauer, Muhammad Shafique, Stephanie Kreutz, Jörg Henkel:
Run-time System for an Extensible Embedded Processor with Dynamic Instruction Set. DATE 2008: 752-757 - [c5]