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ORCIDMani Srivastava 0001
Mani B. Srivastava
Person information
- affiliation: University of California, Los Angeles, CA, USA
Other persons with the same name
- Mani Srivastava
- Mani Srivastava 0002 — AWS AI Labs, Seattle, WA, USA
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2020 – today
- 2024
[j102]Swapnil Sayan Saha
, Sandeep Singh Sandha, Mohit Aggarwal, Brian Wang, Liying Han, Julian de Gortari Briseno, Mani Srivastava:
TinyNS: Platform-aware Neurosymbolic Auto Tiny Machine Learning. ACM Trans. Embed. Comput. Syst. 23(3): 43:1-43:48 (2024)- [c322]Huatao Xu, Liying Han, Qirui Yang, Mo Li, Mani Srivastava:
Penetrative AI: Making LLMs Comprehend the Physical World. ACL (Findings) 2024: 7324-7341 - [c321]Ozan Baris Mulayim, Pengrui Quan, Liying Han, Xiaomin Ouyang, Dezhi Hong, Mario Bergés, Mani Srivastava:
Are Time Series Foundation Models Ready to Revolutionize Predictive Building Analytics? BuildSys 2024 - [c320]Julian de Gortari Briseno, Roko Parac, Leo Ardon, Marc Roig Vilamala, Daniel Furelos-Blanco, Lance M. Kaplan, Vinod K. Mishra, Federico Cerutti, Alun D. Preece, Alessandra Russo, Mani Srivastava:
TeamCollab: A Framework for Collaborative Perception-Cognition-Communication-Action. FUSION 2024: 1-8 - [c319]Marco Cominelli, Francesco Gringoli, Lance M. Kaplan, Mani B. Srivastava, Trevor Bihl, Erik Philip Blasch, Nandini Iyer, Federico Cerutti:
Neuro-Symbolic Fusion of Wi-Fi Sensing Data for Passive Radar with Inter-Modal Knowledge Transfer. FUSION 2024: 1-8 - [c318]Gaofeng Dong, Jason Wu, Julian de Gortari Briseno, Akash Deep Singh, Justin Feng, Ankur Sarker, Nader Sehatbakhsh, Mani Srivastava:
RefreshChannels: Exploiting Dynamic Refresh Rate Switching for Mobile Device Attacks. MobiSys 2024: 359-371 - [c317]Brian Wang, Luis Antonio Garcia, Mani Srivastava:
PrivacyOracle: Configuring Sensor Privacy Firewalls with Large Language Models in Smart Built Environments. SP (Workshops) 2024: 239-245 - [c316]Huatao Xu, Liying Han, Qirui Yang, Mo Li, Mani Srivastava:
Penetrative AI: Making LLMs Comprehend the Physical World. HotMobile 2024: 1-7 - [i49]Akash Deep Singh, Brian Wang, Luis Garcia, Xiang Chen, Mani Srivastava:
Understanding factors behind IoT privacy - A user's perspective on RF sensors. CoRR abs/2401.08037 (2024) - [i48]Liying Han, Mani B. Srivastava:
An Empirical Evaluation of Neural and Neuro-symbolic Approaches to Real-time Multimodal Complex Event Detection. CoRR abs/2402.11403 (2024) - [i47]Ho Lyun Jeong, Ziqi Wang, Colin Samplawski, Jason Wu, Shiwei Fang, Lance M. Kaplan, Deepak Ganesan, Benjamin M. Marlin, Mani Srivastava:
GDTM: An Indoor Geospatial Tracking Dataset with Distributed Multimodal Sensors. CoRR abs/2402.14136 (2024) - [i46]Xiaomin Ouyang, Mani Srivastava:
LLMSense: Harnessing LLMs for High-level Reasoning Over Spatiotemporal Sensor Traces. CoRR abs/2403.19857 (2024) - [i45]Tomoyoshi Kimura, Jinyang Li, Tianshi Wang, Denizhan Kara, Yizhuo Chen, Yigong Hu, Ruijie Wang, Maggie B. Wigness, Shengzhong Liu, Mani Srivastava, Suhas N. Diggavi, Tarek F. Abdelzaher:
On the Efficiency and Robustness of Vibration-based Foundation Models for IoT Sensing: A Case Study. CoRR abs/2404.02461 (2024) - [i44]Jason Wu, Ziqi Wang, Xiaomin Ouyang, Ho Lyun Jeong, Colin Samplawski, Lance M. Kaplan, Benjamin M. Marlin, Mani Srivastava:
FlexLoc: Conditional Neural Networks for Zero-Shot Sensor Perspective Invariance in Object Localization with Distributed Multimodal Sensors. CoRR abs/2406.06796 (2024) - [i43]Marco Cominelli, Francesco Gringoli, Lance M. Kaplan, Mani B. Srivastava, Federico Cerutti:
Accurate Passive Radar via an Uncertainty-Aware Fusion of Wi-Fi Sensing Data. CoRR abs/2407.04733 (2024) - [i42]Marco Cominelli, Francesco Gringoli, Lance M. Kaplan, Mani B. Srivastava, Trevor Bihl, Erik Philip Blasch, Nandini Iyer, Federico Cerutti:
Neuro-Symbolic Fusion of Wi-Fi Sensing Data for Passive Radar with Inter-Modal Knowledge Transfer. CoRR abs/2407.04734 (2024) - [i41]Sijie Ji, Xinzhe Zheng, Jiawei Sun, Renqi Chen, Wei Gao, Mani Srivastava:
MindGuard: Towards Accessible and Sitgma-free Mental Health First Aid via Edge LLM. CoRR abs/2409.10064 (2024) - [i40]Pengrui Quan, Xiaomin Ouyang, Jeya Vikranth Jeyakumar, Ziqi Wang, Yang Xing, Mani Srivastava:
SensorBench: Benchmarking LLMs in Coding-Based Sensor Processing. CoRR abs/2410.10741 (2024) - 2023
- [j101]Marc Roig Vilamala, Tianwei Xing, Harrison Taylor, Luis Garcia, Mani Srivastava, Lance M. Kaplan, Alun D. Preece, Angelika Kimmig, Federico Cerutti:
DeepProbCEP: A neuro-symbolic approach for complex event processing in adversarial settings. Expert Syst. Appl. 215: 119376 (2023) - [j100]Jeya Vikranth Jeyakumar, Ankur Sarker, Luis Antonio Garcia, Mani B. Srivastava:
X-CHAR: A Concept-based Explainable Complex Human Activity Recognition Model. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(1): 17:1-17:28 (2023) - [j99]Xiaoying Yang, Xue Wang, Gaofeng Dong, Zihan Yan, Mani Srivastava, Eiji Hayashi, Yang Zhang:
Headar: Sensing Head Gestures for Confirmation Dialogs on Smartwatches with Wearable Millimeter-Wave Radar. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(3): 138:1-138:28 (2023) - [j98]Alice Toniolo, Federico Cerutti, Timothy J. Norman, Nir Oren, John A. Allen, Mani Srivastava, Paul Sullivan:
Human-machine collaboration in intelligence analysis: An expert evaluation. Intell. Syst. Appl. 17: 200151 (2023) - [j97]Achuta Kadambi, Celso de Melo, Cho-Jui Hsieh, Mani B. Srivastava, Stefano Soatto:
Incorporating physics into data-driven computer vision. Nat. Mac. Intell. 5(6): 572-580 (2023) - [c315]Akash Deep Singh, Yunhao Ba, Ankur Sarker, Howard Zhang, Achuta Kadambi, Stefano Soatto, Mani B. Srivastava, Alex Wong:
Depth Estimation from Camera Image and mmWave Radar Point Cloud. CVPR 2023: 9275-9285 - [c314]Marco Cominelli, Francesco Gringoli, Lance M. Kaplan, Mani B. Srivastava, Federico Cerutti:
Accurate Passive Radar via an Uncertainty-Aware Fusion of Wi-Fi Sensing Data. FUSION 2023: 1-8 - [c313]Yayun Du, Swapnil Sayan Saha, Sandeep Singh Sandha, Arthur Lovekin, Jason Wu, S. Siddharth, Mahesh Chowdhary, Mohammad Khalid Jawed, Mani B. Srivastava:
Neural-Kalman GNSS/INS Navigation for Precision Agriculture. ICRA 2023: 9622-9629 - [c312]Jason Wu, Ziqi Wang, Ankur Sarker, Mani B. Srivastava:
Acuity: Creating Realistic Digital Twins Through Multi-resolution Pointcloud Processing and Audiovisual Sensor Fusion. IoTDI 2023: 79-92 - [c311]Sandeep Singh Sandha, Bharathan Balaji, Luis Garcia, Mani B. Srivastava:
Eagle: End-to-end Deep Reinforcement Learning based Autonomous Control of PTZ Cameras. IoTDI 2023: 144-157 - [c310]Tarek F. Abdelzaher, Matthew Caesar, Charith Mendis, Klara Nahrstedt, Mani Srivastava, Minlan Yu:
Challenges in Metaverse Research: An Internet of Things Perspective. MetaCom 2023: 161-170 - [c309]Benjamin M. Marlin, Niranjan Suri, Shiwei Fang, Mani B. Srivastava, Colin Samplawski, Ziqi Wang, Maggie B. Wigness:
IoBT-MAX: a Multimodal Analytics eXperimentation Testbed for IoBT Research. MILCOM 2023: 127-132 - [c308]Pragya Sharma, Mani B. Srivastava:
Impact of Delays and Computation Placement on Sense-Act Application Performance in IoT. MILCOM 2023: 133-138 - [c307]Shengzhong Liu, Tomoyoshi Kimura, Dongxin Liu, Ruijie Wang, Jinyang Li, Suhas N. Diggavi, Mani B. Srivastava, Tarek F. Abdelzaher:
FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space. NeurIPS 2023 - [c306]Swapnil Sayan Saha, Yayun Du, Sandeep Singh Sandha, Luis Antonio Garcia, Mohammad Khalid Jawed, Mani B. Srivastava:
Inertial Navigation on Extremely Resource-Constrained Platforms: Methods, Opportunities and Challenges. PLANS 2023: 708-723 - [c305]Colin Samplawski, Shiwei Fang, Ziqi Wang, Deepak Ganesan, Mani B. Srivastava, Benjamin M. Marlin:
Heteroskedastic Geospatial Tracking with Distributed Camera Networks. UAI 2023: 1805-1814 - [c304]Wenqiang Chen, Ziqi Wang, Pengrui Quan, Zhencan Peng, Shupei Lin, Mani B. Srivastava, Wojciech Matusik, John A. Stankovic:
Robust Finger Interactions with COTS Smartwatches via Unsupervised Siamese Adaptation. UIST 2023: 25:1-25:14 - [i39]Sandeep Singh Sandha, Bharathan Balaji, Luis Garcia, Mani B. Srivastava:
Eagle: End-to-end Deep Reinforcement Learning based Autonomous Control of PTZ Cameras. CoRR abs/2304.04356 (2023) - [i38]Colin Samplawski, Shiwei Fang, Ziqi Wang, Deepak Ganesan, Mani B. Srivastava, Benjamin M. Marlin:
Heteroskedastic Geospatial Tracking with Distributed Camera Networks. CoRR abs/2306.02407 (2023) - [i37]Yi Han, Matthew Chan, Eric Wengrowski, Zhuohuan Li, Nils Ole Tippenhauer, Mani B. Srivastava, Saman A. Zonouz, Luis Garcia:
Why Don't You Clean Your Glasses? Perception Attacks with Dynamic Optical Perturbations. CoRR abs/2307.13131 (2023) - [i36]Huatao Xu, Liying Han, Mo Li, Mani Srivastava:
Penetrative AI: Making LLMs Comprehend the Physical World. CoRR abs/2310.09605 (2023) - [i35]Shengzhong Liu, Tomoyoshi Kimura, Dongxin Liu, Ruijie Wang, Jinyang Li, Suhas N. Diggavi, Mani B. Srivastava, Tarek F. Abdelzaher:
FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space. CoRR abs/2310.20071 (2023) - 2022
- [j96]Swapnil Sayan Saha, Sandeep Singh Sandha, Siyou Pei, Vivek Jain, Ziqi Wang, Yuchen Li, Ankur Sarker, Mani Srivastava:
Auritus: An Open-Source Optimization Toolkit for Training and Development of Human Movement Models and Filters Using Earables. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(2): 70:1-70:34 (2022) - [j95]Swapnil Sayan Saha, Sandeep Singh Sandha, Luis Antonio Garcia, Mani Srivastava:
TinyOdom: Hardware-Aware Efficient Neural Inertial Navigation. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(2): 71:1-71:32 (2022) - [j94]Julian de Gortari Briseno, Akash Deep Singh, Mani Srivastava:
InkFiltration: Using Inkjet Printers for Acoustic Data Exfiltration from Air-Gapped Networks. ACM Trans. Priv. Secur. 25(2): 15:1-15:26 (2022) - [c303]Swapnil Sayan Saha, Sandeep Singh Sandha, Siyou Pei, Vivek Jain, Ziqi Wang, Yuchen Li, Ankur Sarker, Mani B. Srivastava:
Excerpt of Auritus: An Open-Source Optimization Toolkit for Training and Development of Human Movement Models and Filters Using Earables. UbiComp/ISWC Adjunct 2022: 252-253 - [c302]Wenqiang Chen, Ziqi Wang, Pengrui Quan, Zhencan Peng, Shupei Lin, Mani B. Srivastava, John A. Stankovic:
Making Vibration-based On-body Interaction Robust. ICCPS 2022: 300-301 - [c301]Pengrui Quan, Wei-Han Lee, Mudhakar Srivatsa, Mani B. Srivastava:
Enhancing Robustness in Federated Learning by Supervised Anomaly Detection. ICPR 2022: 996-1003 - [c300]Jian Zhang, Jian Tang, Yiran Chen, Jie Liu, Jieping Ye, Marilyn Wolf, Vijaykrishnan Narayanan, Mani B. Srivastava, Michael I. Jordan, Victor Bahl:
The 5th Artificial Intelligence of Things (AIoT) Workshop. KDD 2022: 4912-4913 - [c299]Tarek F. Abdelzaher, Nathaniel D. Bastian, Susmit Jha, Lance M. Kaplan, Mani B. Srivastava, Venugopal V. Veeravalli:
Context-aware Collaborative Neuro-Symbolic Inference in IoBTs. MILCOM 2022: 1053-1058 - [c298]Shengzhong Liu, Tianshi Wang, Jinyang Li, Dachun Sun, Mani B. Srivastava, Tarek F. Abdelzaher:
AdaMask: Enabling Machine-Centric Video Streaming with Adaptive Frame Masking for DNN Inference Offloading. ACM Multimedia 2022: 3035-3044 - [c297]Ragini Gupta, Bo Chen, Shengzhong Liu, Tianshi Wang, Sandeep Singh Sandha, Abel Souza, Klara Nahrstedt, Tarek F. Abdelzaher, Mani B. Srivastava, Prashant J. Shenoy, Jeffrey Smith, Maggie B. Wigness, Niranjan Suri:
DARTS: Distributed IoT Architecture for Real-Time, Resilient and AI-Compressed Workflows. ApPLIED@PODC 2022: 15-23 - [c296]Ziqi Wang, Ankur Sarker, Jason Wu, Derek Hua, Gaofeng Dong, Akash Deep Singh, Mani B. Srivastava:
Capricorn: Towards Real-Time Rich Scene Analysis Using RF-Vision Sensor Fusion. SenSys 2022: 334-348 - [c295]Ziqi Wang, Ankur Sarker, Jason Wu, Derek Hua, Gaofeng Dong, Akash Deep Singh, Mani B. Srivastava:
Towards Real-Time Rich Scene Analysis Using Vision-Guided Wireless Vibrometry. SenSys 2022: 786-787 - [c294]Shiwei Fang, Ankur Sarker, Ziqi Wang, Mani B. Srivastava, Benjamin M. Marlin, Deepak Ganesan:
Design and Deployment of a Multi-Modal Multi-Node Sensor Data Collection Platform. SenSys 2022: 1041-1046 - [i34]Salma Elmalaki, Bo-Jhang Ho, Moustafa Alzantot, Yasser Shoukry, Mani B. Srivastava:
VindiCo: Privacy Safeguard Against Adaptation Based Spyware in Human-in-the-Loop IoT. CoRR abs/2202.01348 (2022) - [i33]Jeya Vikranth Jeyakumar, Ludmila Cherkasova, Saina Lajevardi, Moray Allan, Yue Zhao, John Fry, Mani B. Srivastava:
Combining Individual and Joint Networking Behavior for Intelligent IoT Analytics. CoRR abs/2203.03109 (2022) - [i32]Moustafa Alzantot, Luis Garcia, Mani B. Srivastava:
PhysioGAN: Training High Fidelity Generative Model for Physiological Sensor Readings. CoRR abs/2204.13597 (2022) - [i31]Swapnil Sayan Saha, Sandeep Singh Sandha, Mani B. Srivastava:
Machine Learning for Microcontroller-Class Hardware - A Review. CoRR abs/2205.14550 (2022) - [i30]Jeya Vikranth Jeyakumar, Luke Dickens, Luis Garcia, Yu-Hsi Cheng, Diego Ramirez-Echavarria, Joseph Noor, Alessandra Russo, Lance M. Kaplan, Erik Blasch, Mani B. Srivastava:
Automatic Concept Extraction for Concept Bottleneck-based Video Classification. CoRR abs/2206.10129 (2022) - [i29]Pengrui Quan, Supriyo Chakraborty, Jeya Vikranth Jeyakumar, Mani B. Srivastava:
On the amplification of security and privacy risks by post-hoc explanations in machine learning models. CoRR abs/2206.14004 (2022) - [i28]Matthew Chan, Nathaniel Snyder, Marcus Lucas, Luis Garcia, Oleg Sokolsky, James Weimer, Insup Lee, Paulo Tabuada, Saman A. Zonouz, Mani B. Srivastava:
Let's Talk Through Physics! Covert Cyber-Physical Data Exfiltration on Air-Gapped Edge Devices. CoRR abs/2210.07531 (2022) - 2021
- [c293]Nazir Saleheen, Md. Azim Ullah, Supriyo Chakraborty, Deniz S. Ones, Mani B. Srivastava, Santosh Kumar:
WristPrint: Characterizing User Re-identification Risks from Wrist-worn Accelerometry Data. CCS 2021: 2807-2823 - [c292]Joseph Noor, Mani B. Srivastava, Ravi Netravali:
Portkey: Adaptive Key-Value Placement over Dynamic Edge Networks. SoCC 2021: 197-213 - [c291]Sandeep Singh Sandha, Mohit Aggarwal, Swapnil Sayan Saha, Mani B. Srivastava:
Enabling Hyperparameter Tuning of Machine Learning Classifiers in Production. CogMI 2021: 262-271 - [c290]Renju Liu, Luis Garcia, Mani B. Srivastava:
Aerogel: Lightweight Access Control Framework for WebAssembly-Based Bare-Metal IoT Devices. SEC 2021: 94-105 - [c289]Renju Liu, Luis Garcia, Zaoxing Liu, Botong Ou, Mani B. Srivastava:
SecDeep: Secure and Performant On-device Deep Learning Inference Framework for Mobile and IoT Devices. IoTDI 2021: 67-79 - [c288]Tianwei Xing, Luis Garcia, Federico Cerutti, Lance M. Kaplan, Alun D. Preece, Mani B. Srivastava:
DeepSQA: Understanding Sensor Data via Question Answering. IoTDI 2021: 106-118 - [c287]Ziqi Wang, Brian Wang, Mani B. Srivastava:
Protecting User Data Privacy with Adversarial Perturbations: Poster Abstract. IPSN 2021: 386-387 - [c286]Jian Zhang, Jian Tang, Yiran Chen, Jie Liu, Jieping Ye, Marilyn Wolf, Vijaykrishnan Narayanan, Mani Srivastava, Michael I. Jordan, Victor Bahl:
The 4th Artificial Intelligence of Things (AIoT) Workshop. KDD 2021: 4179-4180 - [c285]Akash Deep Singh, Luis Garcia, Joseph Noor, Mani B. Srivastava:
I Always Feel Like Somebody's Sensing Me! A Framework to Detect, Identify, and Localize Clandestine Wireless Sensors. USENIX Security Symposium 2021: 1829-1846 - [i27]Pengrui Quan, Ruiming Guo, Mani B. Srivastava:
Towards Imperceptible Query-limited Adversarial Attacks with Perceptual Feature Fidelity Loss. CoRR abs/2102.00449 (2021) - [i26]Marc Roig Vilamala, Tianwei Xing, Harrison Taylor, Luis Garcia, Mani B. Srivastava, Lance M. Kaplan, Alun D. Preece, Angelika Kimmig, Federico Cerutti:
Using DeepProbLog to perform Complex Event Processing on an Audio Stream. CoRR abs/2110.08090 (2021) - 2020
- [j93]Richard Tomsett, Alun D. Preece, Dave Braines, Federico Cerutti, Supriyo Chakraborty, Mani B. Srivastava, Gavin Pearson, Lance M. Kaplan:
Rapid Trust Calibration through Interpretable and Uncertainty-Aware AI. Patterns 1(4): 100049 (2020) - [j92]Fatima M. Anwar, Mani B. Srivastava:
A Case for Feedforward Control with Feedback Trim to Mitigate Time Transfer Attacks. ACM Trans. Priv. Secur. 23(2): 11:1-11:25 (2020) - [c284]Benjamin M. Marlin, Tarek F. Abdelzaher, Gabriela F. Ciocarlie, Adam D. Cobb, Mark Dennison, Brian Jalaian, Lance M. Kaplan, Tiffany Raber, Adrienne Raglin, Piyush K. Sharma, Mani B. Srivastava, Theron Trout, Meet P. Vadera, Maggie B. Wigness:
On Uncertainty and Robustness in Large-Scale Intelligent Data Fusion Systems. CogMI 2020: 82-91 - [c283]Sandeep Singh Sandha, Luis Garcia, Bharathan Balaji, Fatima M. Anwar, Mani B. Srivastava:
Sim2Real Transfer for Deep Reinforcement Learning with Stochastic State Transition Delays. CoRL 2020: 1066-1083 - [c282]Sandeep Singh Sandha, Mohit Aggarwal, Igor Fedorov, Mani B. Srivastava:
Mango: A Python Library for Parallel Hyperparameter Tuning. ICASSP 2020: 3987-3991 - [c281]Jeya Vikranth Jeyakumar, Ludmila Cherkasova, Saina Lajevardi, Moray Allan, Yue Zhao, John Fry, Mani B. Srivastava:
Combining Individual and Joint Networking Behavior for Intelligent IoT Analytics. ICIOT 2020: 45-62 - [c280]Sandeep Singh Sandha, Joseph Noor, Fatima M. Anwar, Mani B. Srivastava:
Time Awareness in Deep Learning-Based Multimodal Fusion Across Smartphone Platforms. IoTDI 2020: 149-156 - [c279]Jeya Vikranth Jeyakumar, Joseph Noor, Yu-Hsi Cheng, Luis Garcia, Mani B. Srivastava:
How Can I Explain This to You? An Empirical Study of Deep Neural Network Explanation Methods. NeurIPS 2020 - [c278]Ziqi Wang, Zhe Chen, Akash Deep Singh, Luis Garcia, Jun Luo, Mani B. Srivastava:
UWHear: through-wall extraction and separation of audio vibrations using wireless signals. SenSys 2020: 1-14 - [c277]Tianwei Xing, Luis Garcia, Marc Roig Vilamala, Federico Cerutti, Lance M. Kaplan, Alun D. Preece, Mani B. Srivastava:
Neuroplex: learning to detect complex events in sensor networks through knowledge injection. SenSys 2020: 489-502 - [i25]Akash Deep Singh, Luis Garcia, Joseph Noor, Mani B. Srivastava:
I Always Feel Like Somebody's Sensing Me! A Framework to Detect, Identify, and Localize Clandestine Wireless Sensors. CoRR abs/2005.03068 (2020) - [i24]Sandeep Singh Sandha, Mohit Aggarwal, Igor Fedorov, Mani B. Srivastava:
MANGO: A Python Library for Parallel Hyperparameter Tuning. CoRR abs/2005.11394 (2020) - [i23]Bo-Jhang Ho, Bharathan Balaji, Mehmet Köseoglu, Sandeep Sandha, Siyou Pei, Mani B. Srivastava:
Quick Question: Interrupting Users for Microtasks with Reinforcement Learning. CoRR abs/2007.09515 (2020) - [i22]Marc Roig Vilamala, Harrison Taylor, Tianwei Xing, Luis Garcia, Mani B. Srivastava, Lance M. Kaplan, Alun D. Preece, Angelika Kimmig, Federico Cerutti:
A Hybrid Neuro-Symbolic Approach for Complex Event Processing. CoRR abs/2009.03420 (2020) - [i21]Dave Braines, Federico Cerutti, Marc Roig Vilamala, Mani B. Srivastava, Lance M. Kaplan, Alun D. Preece, Gavin Pearson:
Towards human-agent knowledge fusion (HAKF) in support of distributed coalition teams. CoRR abs/2010.12327 (2020) - [i20]Katie Barrett-Powell, Jack Furby, Liam Hiley, Marc Roig Vilamala, Harrison Taylor, Federico Cerutti, Alun D. Preece, Tianwei Xing, Luis Garcia, Mani B. Srivastava, Dave Braines:
An Experimentation Platform for Explainable Coalition Situational Understanding. CoRR abs/2010.14388 (2020)
2010 – 2019
- 2019
- [j91]Sandeep Singh Sandha, Wellington Cabrera, Mohammed Al-Kateb, Sanjay Nair, Mani B. Srivastava:
In-database Distributed Machine Learning: Demonstration using Teradata SQL Engine. Proc. VLDB Endow. 12(12): 1854-1857 (2019) - [c276]Brian Wang, Mani B. Srivastava:
Enabling Privacy Policies for mHealth Studies. IEEE BigData 2019: 4045-4054 - [c275]Moustafa Alzantot, Yash Sharma, Supriyo Chakraborty, Huan Zhang, Cho-Jui Hsieh, Mani B. Srivastava:
GenAttack: practical black-box attacks with gradient-free optimization. GECCO 2019: 1111-1119 - [c274]Sandeep Singh Sandha, Joseph Noor, Fatima M. Anwar, Mani B. Srivastava:
Exploiting Smartphone Peripherals for Precise Time Synchronization. GlobalSIP 2019: 1-6 - [c273]Zhou Fang, Jeng-Hau Lin, Mani B. Srivastava, Rajesh K. Gupta:
Multi-tenant mobile offloading systems for real-time computer vision applications. ICDCN 2019: 21-30 - [c272]Moustafa Alzantot, Ziqi Wang, Mani B. Srivastava:
Deep Residual Neural Networks for Audio Spoofing Detection. INTERSPEECH 2019: 1078-1082 - [c271]Joseph Noor, Hsiao-Yun Tseng, Luis Garcia, Mani B. Srivastava:
DDFlow: visualized declarative programming for heterogeneous IoT networks. IoTDI 2019: 172-177 - [c270]Joseph Noor, Sandeep Singh Sandha, Luis Garcia, Mani B. Srivastava:
DDFLOW visualized declarative programming for heterogeneous IoT networks on Heliot testbed platform: demo abstract. IoTDI 2019: 287-288 - [c269]Sandeep Singh Sandha, Joseph Noor, Fatima M. Anwar, Mani B. Srivastava:
Exploiting Smartphone Peripherals for Precise Time Synchronization. ISPCS 2019: 1-6 - [c268]Joseph Noor, Ahmed Ali-Eldin, Luis Garcia, Chirag Rao, Venkat R. Dasari, Deepak Ganesan, Brian Jalaian, Prashant J. Shenoy, Mani B. Srivastava:
The Case for Robust Adaptation: Autonomic Resource Management is a Vulnerability. MILCOM 2019: 821-826 - [c267]Ayça Özçelikkale, Mehmet Köseoglu, Mani B. Srivastava, Anders Ahlén:
DEEP Reinforcement Learning Based Energy Beamforming for Powering Sensor Networks. MLSP 2019: 1-6 - [c266]Akash Deep Singh, Sandeep Singh Sandha, Luis Garcia, Mani B. Srivastava:
RadHAR: Human Activity Recognition from Point Clouds Generated through a Millimeter-wave Radar. mmNets 2019: 51-56 - [c265]Fatima M. Anwar, Luis Garcia, Xi Han, Mani B. Srivastava:
Securing Time in Untrusted Operating Systems with TimeSeal. RTSS 2019: 80-92 - [c264]Jeya Vikranth Jeyakumar, Liangzhen Lai, Naveen Suda, Mani B. Srivastava:
SenseHAR: a robust virtual activity sensor for smartphones and wearables. SenSys 2019: 15-28 - [c263]Renju Liu, Ziqi Wang, Luis Garcia, Mani B. Srivastava:
RemedioT: Remedial Actions for Internet-of-Things Conflicts. BuildSys 2019: 101-110 - [c262]Moustafa Alzantot, Amy Widdicombe, Simon Julier, Mani B. Srivastava:
NeuroMask: Explaining Predictions of Deep Neural Networks through Mask Learning. SMARTCOMP 2019: 81-86 - [c261]Tianwei Xing, Marc Roig Vilamala, Luis Garcia, Federico Cerutti, Lance M. Kaplan, Alun D. Preece, Mani B. Srivastava:
DeepCEP: Deep Complex Event Processing Using Distributed Multimodal Information. SMARTCOMP 2019: 87-92 - [c260]Salma Elmalaki, Bo-Jhang Ho, Moustafa Alzantot, Yasser Shoukry, Mani B. Srivastava:
SpyCon: Adaptation Based Spyware in Human-in-the-Loop IoT. IEEE Symposium on Security and Privacy Workshops 2019: 163-168 - [c259]Fatima M. Anwar, Mani B. Srivastava:
Applications and Challenges in Securing Time. CSET @ USENIX Security Symposium 2019 - [i19]Moustafa Alzantot, Ziqi Wang, Mani B. Srivastava:
Deep Residual Neural Networks for Audio Spoofing Detection. CoRR abs/1907.00501 (2019) - [i18]Moustafa Alzantot, Amy Widdicombe, Simon Julier, Mani B. Srivastava:
NeuroMask: Explaining Predictions of Deep Neural Networks through Mask Learning. CoRR abs/1908.04389 (2019) - [i17]