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ORCIDWeiqiang Liu 0001
Person information
- affiliation: Nanjing University of Aeronautics and Astronautics, College of Electronic Information and Engineering, China
Other persons with the same name
- Weiqiang Liu 0002
![[0000-0002-3657-436X]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-3657-436X")
— Xiamen University, Xiamen, China - Weiqiang Liu 0003 — Tsinghua University, Shenzhen, China
- Weiqiang Liu 0004 — Chinese Academy of Geological Sciences, Beijing, China
- Weiqiang Liu 0005 — China University of Mining and Technology, Xuzhou, China
- Weiqiang Liu 0006 — Johns Hopkins University, Baltimore, MD, USA
- Weiqiang Liu 0007 — University of Science and Technology, China
- Weiqiang Liu 0008 — Tianjin University, Tianjin, China
- Weiqiang Liu 0009 — Sichuan University, Chengdu, China
- Weiqiang Liu 0010 — Nanjing University of Science and Technology, Nanjing, China
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2020 – today
- 2024
[j113]Mingfu Xue, Shifeng Ni, Yinghao Wu, Yushu Zhang, Weiqiang Liu:
Imperceptible and multi-channel backdoor attack. Appl. Intell. 54(11-12): 1099-1116 (2024)- [j112]Xiaodong Meng, Xing Li, Chi-Ying Tsui, Wing-Hung Ki, Weiqiang Liu:
A 13.56-MHz Primary Driver With Fractional Capacitance Auto-Tuning Loop for Wireless-Powered Implantable Medical Devices. IEEE J. Solid State Circuits 59(10): 3218-3231 (2024) - [j111]Mingfu Xue, Xin Wang, Yinghao Wu, Shifeng Ni, Leo Yu Zhang, Yushu Zhang, Weiqiang Liu:
An Explainable Intellectual Property Protection Method for Deep Neural Networks Based on Intrinsic Features. IEEE Trans. Artif. Intell. 5(9): 4649-4659 (2024) - [j110]Tianyang Yu, Bi Wu, Ke Chen, Gong Zhang, Weiqiang Liu:
Fully Learnable Hyperdimensional Computing Framework With Ultratiny Accelerator for Edge-Side Applications. IEEE Trans. Computers 73(2): 574-585 (2024) - [j109]Yuqin Dou, Chenghua Wang, Haroon Waris, Roger F. Woods, Weiqiang Liu:
FPAX: A Fast Prior Knowledge-Based Framework for DSE in Approximate Configurations. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(6): 1650-1662 (2024) - [j108]Bi Wu, Tianyang Yu, Ke Chen, Weiqiang Liu:
Edge-Side Fine-Grained Sparse CNN Accelerator With Efficient Dynamic Pruning Scheme. IEEE Trans. Circuits Syst. I Regul. Pap. 71(3): 1285-1298 (2024) - [j107]Xin Chen, Yuxin Bai, Hao Cai, Congyi Zhu, Xinjie Zhou, Ying Zhang, Weiqiang Liu:
Low-Overhead Triple-Node-Upset Self-Recoverable Latch Design for Ultra-Dynamic Voltage Scaling Application. IEEE Trans. Circuits Syst. I Regul. Pap. 71(6): 2632-2645 (2024) - [j106]Haonan Zhu, Bi Wu, Tianyang Yu, Ke Chen, Chenggang Yan, Weiqiang Liu:
A Potential Enabler for High-Performance In-Memory Multi-Bit Arithmetic Schemes With Unipolar Switching SOT-MRAM. IEEE Trans. Circuits Syst. I Regul. Pap. 71(7): 3165-3178 (2024) - [j105]Yu Gong, Bo Liu, Hao Cai, Longxing Shi, Weiqiang Liu:
VoAD: A Sub-μW Multiscene Voice Activity Detector Deploying Analog-Frontend Digital-Backend Circuits. IEEE Trans. Circuits Syst. II Express Briefs 71(2): 837-841 (2024) - [j104]Gang Qu, Debdeep Mukhopadhyay, Nele Mentens, Weiqiang Liu:
Special Section on Emerging Topics in Hardware Computing Systems Security. IEEE Trans. Emerg. Top. Comput. 12(2): 482 (2024) - [j103]Mingfu Xue, Yinghao Wu, Shifeng Ni, Leo Yu Zhang, Yushu Zhang, Weiqiang Liu:
Untargeted Backdoor Attack Against Deep Neural Networks With Imperceptible Trigger. IEEE Trans. Ind. Informatics 20(3): 5004-5013 (2024) - [j102]Yijun Cui, Jiang Li, Yunpeng Chen, Chenghua Wang, Chongyan Gu, Máire O'Neill, Weiqiang Liu:
An Efficient Ring Oscillator PUF Using Programmable Delay Units on FPGA. ACM Trans. Design Autom. Electr. Syst. 29(1): 2:1-2:20 (2024) - [j101]Tianyang Yu, Bi Wu, Ke Chen, Chenggang Yan, Weiqiang Liu:
Toward Efficient Retraining: A Large-Scale Approximate Neural Network Framework With Cross-Layer Optimization. IEEE Trans. Very Large Scale Integr. Syst. 32(6): 1004-1017 (2024) - [c109]Yifan Shang, Mingfu Xue, Leo Yu Zhang, Yushu Zhang, Weiqiang Liu:
Tracking the Leaker: An Encodable Watermarking Method for Dataset Intellectual Property Protection. ACM TUR-C 2024 - [c108]Linji Zhang, Mingfu Xue, Leo Yu Zhang, Yushu Zhang, Weiqiang Liu:
An Imperceptible and Owner-unique Watermarking Method for Graph Neural Networks. ACM TUR-C 2024 - [c107]Hui Chen, Lianghua Quan, Weiqiang Liu:
HGH-CORDIC: A High-Radix Generalized Hyperbolic COordinate Rotation Digital Computer. ARITH 2024: 88-95 - [c106]Ziying Cui, Ke Chen, Bi Wu, Chenggang Yan, Yu Gong, Weiqiang Liu:
A Time Efficient Comprehensive Model of Approximate Multipliers for Design Space Exploration. ARITH 2024: 116-123 - [c105]Jiang Li, Yijun Cui, Chenghua Wang, Weiqiang Liu, Shahar Kvatinsky:
A Concealable RRAM Physical Unclonable Function Compatible with In-Memory Computing. DATE 2024: 1-6 - [c104]Ziying Ni, Ayesha Khalid, Weiqiang Liu, Máire O'Neill:
Bitstream Fault Injection Attacks on CRYSTALS Kyber Implementations on FPGAs. DATE 2024: 1-6 - [c103]Bin Gong, Ke Chen, Pengfei Huang, Bi Wu, Weiqiang Liu:
Most Significant One-Driven Shifting Dynamic Efficient Multipliers for Large Language Models. ISCAS 2024: 1-5 - [c102]Ziying Ni, Ayesha Khalid, Weiqiang Liu, Máire O'Neill:
FPGA Bitstream Fault Injection Attack and Countermeasures on the Sampling Counter in CRYSTALS Kyber. ISCAS 2024: 1-5 - [c101]Shouji Chen, Ke Chen, Ziying Cui, Weiqiang Liu:
A High-accuracy Time-efficient Error Metric Model for Approximate Computing Circuits. ISVLSI 2024: 94-99 - 2023
- [j100]Mingfu Xue, Yinghao Wu, Yushu Zhang, Jian Wang, Weiqiang Liu:
Dataset authorization control: protect the intellectual property of dataset via reversible feature space adversarial examples. Appl. Intell. 53(6): 7298-7309 (2023) - [j99]Mingfu Xue, Xin Wang, Shichang Sun, Yushu Zhang, Jian Wang, Weiqiang Liu:
Compression-resistant backdoor attack against deep neural networks. Appl. Intell. 53(17): 20402-20417 (2023) - [j98]Chenggang Yan, Yuxuan Cui, Ke Chen, Bi Wu, Weiqiang Liu:
Hardware Efficient Successive-Cancellation Polar Decoders Using Approximate Computing. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(1): 189-200 (2023) - [j97]Mingfu Xue, Shichang Sun, Can He, Dujuan Gu, Yushu Zhang, Jian Wang, Weiqiang Liu:
ActiveGuard: An active intellectual property protection technique for deep neural networks by leveraging adversarial examples as users' fingerprints. IET Comput. Digit. Tech. 17(3-4): 111-126 (2023) - [j96]Mingfu Xue, Yinghao Wu, Zhiyu Wu, Yushu Zhang, Jian Wang, Weiqiang Liu:
Detecting backdoor in deep neural networks via intentional adversarial perturbations. Inf. Sci. 634: 564-577 (2023) - [j95]Ke Chen, Chenyu Xu, Haroon Waris, Weiqiang Liu, Paolo Montuschi, Fabrizio Lombardi:
Exact and Approximate Squarers for Error-Tolerant Applications. IEEE Trans. Computers 72(7): 2120-2126 (2023) - [j94]Ziying Ni, Ayesha Khalid, Dur-e-Shahwar Kundi, Máire O'Neill, Weiqiang Liu:
HPKA: A High-Performance CRYSTALS-Kyber Accelerator Exploring Efficient Pipelining. IEEE Trans. Computers 72(12): 3340-3353 (2023) - [j93]Yuqin Dou, Chenghua Wang, Roger F. Woods, Weiqiang Liu:
ENAP: An Efficient Number-Aware Pruning Framework for Design Space Exploration of Approximate Configurations. IEEE Trans. Circuits Syst. I Regul. Pap. 70(5): 2062-2073 (2023) - [j92]Bi Wu, Haonan Zhu, Ke Chen, Chenggang Yan, Weiqiang Liu:
MLiM: High-Performance Magnetic Logic in-Memory Scheme With Unipolar Switching SOT-MRAM. IEEE Trans. Circuits Syst. I Regul. Pap. 70(6): 2412-2424 (2023) - [j91]Chenggang Yan, Xuan Zhao, Tingting Zhang, Jipeng Ge, Chenghua Wang, Weiqiang Liu:
Design of High Hardware Efficiency Approximate Floating-Point FFT Processor. IEEE Trans. Circuits Syst. I Regul. Pap. 70(11): 4283-4294 (2023) - [j90]Yijun Cui, Yuantuo Zhang, Ziying Ni, Shichao Yu, Chenghua Wang, Weiqiang Liu:
High-Throughput Polynomial Multiplier for Accelerating Saber on FPGA. IEEE Trans. Circuits Syst. II Express Briefs 70(9): 3584-3588 (2023) - [j89]Mingfu Xue, Chengxiang Yuan, Can He, Yinghao Wu, Zhiyu Wu, Yushu Zhang, Zhe Liu, Weiqiang Liu:
Use the Spear as a Shield: An Adversarial Example Based Privacy-Preserving Technique Against Membership Inference Attacks. IEEE Trans. Emerg. Top. Comput. 11(1): 153-169 (2023) - [j88]Yuqin Dou, Chongyan Gu, Chenghua Wang, Weiqiang Liu, Fabrizio Lombardi:
Security and Approximation: Vulnerabilities in Approximation-Aware Testing. IEEE Trans. Emerg. Top. Comput. 11(1): 265-271 (2023) - [j87]Bi Wu, Haonan Zhu, Dayane Reis, Zhaohao Wang, Ying Wang, Ke Chen, Weiqiang Liu, Fabrizio Lombardi, Xiaobo Sharon Hu:
An Energy-Efficient Computing-in-Memory (CiM) Scheme Using Field-Free Spin-Orbit Torque (SOT) Magnetic RAMs. IEEE Trans. Emerg. Top. Comput. 11(2): 331-342 (2023) - [j86]Mingfu Xue, Zhiyu Wu, Yushu Zhang, Jian Wang, Weiqiang Liu:
AdvParams: An Active DNN Intellectual Property Protection Technique via Adversarial Perturbation Based Parameter Encryption. IEEE Trans. Emerg. Top. Comput. 11(3): 664-678 (2023) - [j85]Ke Chen, Yue Gao, Haroon Waris, Weiqiang Liu, Fabrizio Lombardi:
Approximate Softmax Functions for Energy-Efficient Deep Neural Networks. IEEE Trans. Very Large Scale Integr. Syst. 31(1): 4-16 (2023) - [j84]Xin Chen, Yuxin Bai, Jianpeng Cao, Lei Wang, Xinjie Zhou, Ying Zhang, Weiqiang Liu:
Low-Overhead Triple-Node-Upset-Tolerant Latch Design in 28-nm CMOS. IEEE Trans. Very Large Scale Integr. Syst. 31(7): 1039-1050 (2023) - [c100]Zhuoyao Zhang, Yijun Cui, Ziying Ni, Chenghua Wang, Weiqiang Liu:
An Efficient Hardware Accelerator of High-Speed NTT for CRYSTALS-Kyber Post-Quantum Cryptography. ACSSC 2023: 1-6 - [c99]Aditya Japa, Jiliang Zhang, Weiqiang Liu, Chongyan Gu:
Processor based Intrinsic PUF Design for Approximate Computing: Faith or Reality? AsianHOST 2023: 1-6 - [c98]Xu Wang, Ke Chen, Chenghua Wang, Weiqiang Liu:
An Energy-efficient Approximate DCT Design for Image Processing (Invited). ASICON 2023: 1-4 - [c97]You Wang, Yefan Xu, Chaoyue Zhang, Yu Gong, Hao Cai, Weiqiang Liu:
Spice-Compatible Modeling of Double Barrier MTJ for Highly Reliable Circuits. ICTA 2023: 65-66 - [c96]Yuxuan Cui, Chenggang Yan, Weiqiang Liu:
High Performance and Hardware-Efficient Approximate BPF Decoder for Polar codes. ISCAS 2023: 1-5 - [c95]Ziying Ni, Ayesha Khalid, Weiqiang Liu, Máire O'Neill:
Towards a Lightweight CRYSTALS-Kyber in FPGAs: an Ultra-lightweight BRAM-free NTT Core. ISCAS 2023: 1-5 - [c94]Baosheng Wang, Yijun Cui, Chongyan Gu, Chenghua Wang, Weiqiang Liu:
Novel Intrinsic Physical Unclonable Function Design for Post-quantum Cryptography. ISCAS 2023: 1-5 - [c93]Yuqin Dou, Chongyan Gu, Chenghua Wang, Weiqiang Liu:
A Novel Method Against Hardware Trojans in Approximate Circuits. ISQED 2023: 1-6 - [c92]Haonan Wang, Ke Chen, Chenggang Yan, Bi Wu, Weiqiang Liu:
Hardware-Efficient Accurate and Approximate FPGA Multipliers for Error-Tolerant Applications. MWSCAS 2023: 977-981 - [c91]Wenzhuo Xie, Chenggang Yan, Hanghang Wang, Ke Chen, Bi Wu, Chenghua Wang, Weiqiang Liu:
A High Accuracy and Hardware Efficient Adaptive Filter Design with Approximate Computing. MWSCAS 2023: 982-986 - [c90]Yijun Cui, Jiang Li, Chongyan Gu, Chenghua Wang, Weiqiang Liu:
An RRAM-based PUF with Adjustable Programmable Voltage and Multi-Mode Operation. NANOARCH 2023: 20:1-20:5 - [c89]Shuo Ran, Bi Wu, Ke Chen, Weiqiang Liu:
VLCP: A High-Performance FPGA-based CNN Accelerator with Vector-level Cluster Pruning. NANOARCH 2023: 33:1-33:6 - [i19]Mingfu Xue, Leo Yu Zhang, Yushu Zhang, Weiqiang Liu:
Turn Passive to Active: A Survey on Active Intellectual Property Protection of Deep Learning Models. CoRR abs/2310.09822 (2023) - 2022
- [j83]Mingfu Xue, Shichang Sun, Yushu Zhang, Jian Wang, Weiqiang Liu:
Active intellectual property protection for deep neural networks through stealthy backdoor and users' identities authentication. Appl. Intell. 52(14): 16497-16511 (2022) - [j82]Mingfu Xue, Can He, Yinghao Wu, Shichang Sun, Yushu Zhang, Jian Wang, Weiqiang Liu:
PTB: Robust physical backdoor attacks against deep neural networks in real world. Comput. Secur. 118: 102726 (2022) - [j81]Dur-e-Shahwar Kundi, Ayesha Khalid, Song Bian, Chenghua Wang, Máire O'Neill, Weiqiang Liu:
AxRLWE: A Multilevel Approximate Ring-LWE Co-Processor for Lightweight IoT Applications. IEEE Internet Things J. 9(13): 10492-10501 (2022) - [j80]Ke Chen, Peipei Yin, Weiqiang Liu, Fabrizio Lombardi:
A survey of approximate arithmetic circuits and blocks. it Inf. Technol. 64(3): 79-87 (2022) - [j79]Mingfu Xue, Yushu Zhang, Jian Wang, Weiqiang Liu:
Intellectual Property Protection for Deep Learning Models: Taxonomy, Methods, Attacks, and Evaluations. IEEE Trans. Artif. Intell. 3(6): 908-923 (2022) - [j78]Bo Liu, Hao Cai, Zilong Zhang, Xiaoling Ding, Ziyu Wang, Yu Gong, Weiqiang Liu, Jinjiang Yang, Zhen Wang, Jun Yang:
More is Less: Domain-Specific Speech Recognition Microprocessor Using One-Dimensional Convolutional Recurrent Neural Network. IEEE Trans. Circuits Syst. I Regul. Pap. 69(4): 1571-1582 (2022) - [j77]Shanshan Liu, Bi Wu, Ke Chen, Weiqiang Liu, Máire O'Neill, Fabrizio Lombardi:
Editorial Special Issue on Circuits and Systems for Emerging Computing Paradigms. IEEE Trans. Circuits Syst. I Regul. Pap. 69(7): 2653-2654 (2022) - [j76]Bi Wu, Zhengkuan Wang, Ke Chen, Chenggang Yan, Weiqiang Liu:
GBC: An Energy-Efficient LSTM Accelerator With Gating Units Level Balanced Compression Strategy. IEEE Trans. Circuits Syst. I Regul. Pap. 69(9): 3655-3665 (2022) - [j75]Ziying Ni, Dur-e-Shahwar Kundi, Máire O'Neill, Weiqiang Liu:
A High Performance SIKE Accelerator With High Frequency and Low Area-Time Product. IEEE Trans. Circuits Syst. II Express Briefs 69(9): 3899-3903 (2022) - [j74]Mingfu Xue, Can He, Jian Wang, Weiqiang Liu:
One-to-N & N-to-One: Two Advanced Backdoor Attacks Against Deep Learning Models. IEEE Trans. Dependable Secur. Comput. 19(3): 1562-1578 (2022) - [j73]Weiqiang Liu, Tao Xu, Jing Li, Chenghua Wang, Paolo Montuschi, Fabrizio Lombardi:
Design of Unsigned Approximate Hybrid Dividers Based on Restoring Array and Logarithmic Dividers. IEEE Trans. Emerg. Top. Comput. 10(1): 339-350 (2022) - [j72]Haroon Waris, Chenghua Wang, Weiqiang Liu, Jie Han, Fabrizio Lombardi:
Hybrid Partial Product-Based High-Performance Approximate Recursive Multipliers. IEEE Trans. Emerg. Top. Comput. 10(1): 507-513 (2022) - [j71]Yale Wang, Chenghua Wang, Chongyan Gu, Yijun Cui, Máire O'Neill, Weiqiang Liu:
A Dynamically Configurable PUF and Dynamic Matching Authentication Protocol. IEEE Trans. Emerg. Top. Comput. 10(2): 1091-1104 (2022) - [j70]Haroon Waris, Chenghua Wang, Chenyu Xu, Weiqiang Liu:
AxRMs: Approximate Recursive Multipliers Using High-Performance Building Blocks. IEEE Trans. Emerg. Top. Comput. 10(2): 1229-1235 (2022) - [j69]Shichao Yu, Chongyan Gu, Weiqiang Liu, Máire O'Neill:
Deep Learning-Based Hardware Trojan Detection With Block-Based Netlist Information Extraction. IEEE Trans. Emerg. Top. Comput. 10(4): 1837-1853 (2022) - [j68]Dur-e-Shahwar Kundi, Yuqing Zhang, Chenghua Wang, Ayesha Khalid, Máire O'Neill, Weiqiang Liu:
Ultra High-Speed Polynomial Multiplications for Lattice-Based Cryptography on FPGAs. IEEE Trans. Emerg. Top. Comput. 10(4): 1993-2005 (2022) - [j67]Ziying Ni, Dur-e-Shahwar Kundi, Máire O'Neill, Weiqiang Liu:
A High-Performance SIKE Hardware Accelerator. IEEE Trans. Very Large Scale Integr. Syst. 30(6): 803-815 (2022) - [j66]Yale Wang, Chenghua Wang, Chongyan Gu, Yijun Cui, Máire O'Neill, Weiqiang Liu:
A Generic Dynamic Responding Mechanism and Secure Authentication Protocol for Strong PUFs. IEEE Trans. Very Large Scale Integr. Syst. 30(9): 1256-1268 (2022) - [j65]Zhufei Chu, Chuanhe Shang, Tingting Zhang, Yinshui Xia, Lunyao Wang, Weiqiang Liu:
Efficient Design of Majority-Logic-Based Approximate Arithmetic Circuits. IEEE Trans. Very Large Scale Integr. Syst. 30(12): 1827-1839 (2022) - [c88]Yinghao Wu, Mingfu Xue, Dujuan Gu, Yushu Zhang, Weiqiang Liu:
Sample-Specific Backdoor based Active Intellectual Property Protection for Deep Neural Networks. AICAS 2022: 316-319 - [c87]Jipeng Ge, Chenggang Yan, Xuan Zhao, Ke Chen, Bi Wu, Weiqiang Liu:
An Energy-Efficient Approximate Floating-Point Multipliers for Wireless Communications. APCCAS 2022: 1-5 - [c86]Xuan Zhao, Chenggang Yan, Chenghua Wang, Weiqiang Liu:
Design of Approximate Floating-point FFT with Mantissa Bit-width Adjustment Algorithm. APCCAS 2022: 265-269 - [c85]Tianyu Xu, Yijun Cui, Dongsheng Liu, Chenghua Wang, Weiqiang Liu:
Lightweight and Efficient Hardware Implementation for Saber Using NTT Multiplication. APCCAS 2022: 601-605 - [c84]Ruth O'Connor, Ayesha Khalid, Máire O'Neill, Weiqiang Liu:
Better Security Estimates for Approximate, IoT-Friendly R-LWE Cryptosystems. APCCAS 2022: 611-615 - [c83]Pengfei Huang, Chenghua Wang, Ke Chen, Weiqiang Liu:
PAxC: A Probabilistic-oriented Approximate Computing Methodology for ANNs. DATE 2022: 1165-1168 - [c82]Tianyang Yu, Bi Wu, Ke Chen, Chenggang Yan, Weiqiang Liu:
Data Stream Oriented Fine-grained Sparse CNN Accelerator with Efficient Unstructured Pruning Strategy. ACM Great Lakes Symposium on VLSI 2022: 243-248 - [c81]Ziying Cui, Ke Chen, Bi Wu, Chenggang Yan, Weiqiang Liu:
An Energy-efficient and High-precision Approximate MAC with Distributed Arithmetic Circuits. ACM Great Lakes Symposium on VLSI 2022: 315-318 - [c80]Tianyang Yu, Bi Wu, Ke Chen, Chenggang Yan, Weiqiang Liu:
Energy-efficient Oriented Approximate Quantization Scheme for Fine-Grained Sparse Neural Network Acceleration. ICCD 2022: 762-769 - [c79]Yuantuo Zhang, Yijun Cui, Ziying Ni, Dur-e-Shahwar Kundi, Dongsheng Liu, Weiqiang Liu:
A Lightweight and Efficient Schoolbook Polynomial Multiplier for Saber. ISCAS 2022: 2251-2255 - [c78]Chuanchao Lu, Yijun Cui, Yang Li, Dur-e-Shahwar Kundi, Chenghua Wang, Weiqiang Liu:
Horizontal Correlation Analysis without Precise Location on Schoolbook Polynomial Multiplication of Lattice-based Cryptosystem. ISCAS 2022: 2428-2432 - [c77]Yuan Song, Bi Wu, Tian Yuan, Weiqiang Liu:
A High-Speed CNN Hardware Accelerator with Regular Pruning. ISQED 2022: 1-5 - [c76]Haroon Waris, Chenghua Wang, Weiqiang Liu:
Architectural-Space Exploration of Energy-Efficient Approximate Arithmetic Units for Error-Tolerant Applications. ISVLSI 2022: 440-445 - [c75]Kai Liu, Bi Wu, Haonan Zhu, Weiqiang Liu:
High-performance STT-MRAM Logic-in-Memory Scheme Utilizing Data Read Features. NANOARCH 2022: 2:1-2:6 - [c74]Didi Zhang, Bi Wu, Haonan Zhu, Weiqiang Liu:
Capacity-oriented High-performance NV-TCAM Leveraging Hybrid MRAM Scheme. NANOARCH 2022: 3:1-3:6 - [c73]Hanghang Wang, Ke Chen, Bi Wu, Chenghua Wang, Weiqiang Liu, Fabrizio Lombardi:
HEADiv: A High-accuracy Energy-efficient Approximate Divider with Error Compensation. NANOARCH 2022: 15:1-15:6 - [c72]You Wang, Bi Wu, Hao Cai, Weiqiang Liu:
Low-cost stochastic number generator based on MRAM for stochastic computing. NANOARCH 2022: 20:1-20:5 - [c71]Chuanchao Lu, Yijun Cui, Ayesha Khalid, Chongyan Gu, Chenghua Wang, Weiqiang Liu:
A Novel Combined Correlation Power Analysis (CPA) Attack on Schoolbook Polynomial Multiplication in Lattice-based Cryptosystems. SOCC 2022: 1-6 - [p7]Ke Chen, Weiqiang Liu, Fabrizio Lombardi:
Approximate Arithmetic Circuits: Design and Applications. Approximate Computing 2022: 3-21 - [p6]Haroon Waris, Chenghua Wang, Weiqiang Liu:
An Automated Logic-Level Framework for Approximate Modular Arithmetic Circuits. Approximate Computing 2022: 23-49 - [p5]Tingting Zhang, Honglan Jiang, Weiqiang Liu, Fabrizio Lombardi, Leibo Liu, Seok-Bum Ko, Jie Han:
Majority Logic-Based Approximate Multipliers for Error-Tolerant Applications. Approximate Computing 2022: 119-146 - [p4]Chongyan Gu, Yuqin Dou, Weiqiang Liu, Máire O'Neill:
Security Vulnerabilities and Countermeasures for Approximate Circuits. Approximate Computing 2022: 269-286 - [p3]Dur-e-Shahwar Kundi, Ayesha Khalid, Song Bian, Weiqiang Liu:
Approximate Computing for Cryptography. Approximate Computing 2022: 313-331 - [e1]Weiqiang Liu, Fabrizio Lombardi:
Approximate Computing. Springer International Publishing 2022, ISBN 978-3-030-98346-8 [contents] - [i18]Mingfu Xue, Xin Wang, Shichang Sun, Yushu Zhang, Jian Wang, Weiqiang Liu:
Compression-Resistant Backdoor Attack against Deep Neural Networks. CoRR abs/2201.00672 (2022) - [i17]Mingfu Xue, Shifeng Ni, Yinghao Wu, Yushu Zhang, Jian Wang, Weiqiang Liu:
Imperceptible and Multi-channel Backdoor Attack against Deep Neural Networks. CoRR abs/2201.13164 (2022) - [i16]Mingfu Xue, Xin Wang, Yinghao Wu, Shifeng Ni, Yushu Zhang, Weiqiang Liu:
InFIP: An Explainable DNN Intellectual Property Protection Method based on Intrinsic Features. CoRR abs/2210.07481 (2022) - [i15]Ziying Ni, Ayesha Khalid, Dur-e-Shahwar Kundi, Máire O'Neill, Weiqiang Liu:
Efficient Pipelining Exploration for A High-performance CRYSTALS-Kyber Accelerator. IACR Cryptol. ePrint Arch. 2022: 1093 (2022) - 2021
- [j64]Mingfu Xue, Chengxiang Yuan, Can He, Jian Wang, Weiqiang Liu:
NaturalAE: Natural and robust physical adversarial examples for object detectors. J. Inf. Secur. Appl. 57: 102694 (2021) - [j63]Mingfu Xue, Shichang Sun, Zhiyu Wu, Can He, Jian Wang, Weiqiang Liu:
SocialGuard: An adversarial example based privacy-preserving technique for social images. J. Inf. Secur. Appl. 63: 102993 (2021) - [j62]Chongyan Gu, Chip-Hong Chang, Weiqiang Liu, Neil Hanley, Jack Miskelly, Máire O'Neill:
A large-scale comprehensive evaluation of single-slice ring oscillator and PicoPUF bit cells on 28-nm Xilinx FPGAs. J. Cryptogr. Eng. 11(3): 227-238 (2021) - [j61]Yijun Cui, Jiang Li, Chenghua Wang, Chongyan Gu, Weiqiang Liu:
A lightweight key renewal scheme based authentication protocol with configurable RO PUF for clustered sensor networks. Microelectron. J. 117: 105265 (2021) - [j60]Pengfei Huang, Chenghua Wang, Weiqiang Liu, Fei Qiao, Fabrizio Lombardi:
A Hardware/Software Co-Design Methodology for Adaptive Approximate Computing in clustering and ANN Learning. IEEE Open J. Comput. Soc. 2: 38-52 (2021) - [j59]Mingfu Xue, Can He, Jian Wang, Weiqiang Liu:
Backdoors hidden in facial features: a novel invisible backdoor attack against face recognition systems. Peer-to-Peer Netw. Appl. 14(3): 1458-1474 (2021) - [j58]Chongyan Gu, Chip-Hong Chang, Weiqiang Liu, Shichao Yu, Yale Wang, Máire O'Neill:
A Modeling Attack Resistant Deception Technique for Securing Lightweight-PUF-Based Authentication. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(6): 1183-1196 (2021) - [j57]