Mani B. Srivastava

ORCID

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 156

Top Venues

Publications

Tomoyoshi Kimura, Jinyang Li, Tianshi Wang, Denizhan Kara, Yizhuo Chen, Yigong Hu, Ruijie Wang, Maggie B. Wigness, Shengzhong Liu, Mani B. Srivastava, Suhas N. Diggavi, Tarek F. Abdelzaher
On the Efficiency and Robustness of Vibration-based Foundation Models for IoT Sensing: A Case Study. CoRR (2024)
Gaofeng Dong, Jason Wu, Julian de Gortari Briseno, Akash Deep Singh, Justin Feng, Ankur Sarker, Nader Sehatbakhsh, Mani B. Srivastava
RefreshChannels: Exploiting Dynamic Refresh Rate Switching for Mobile Device Attacks. MobiSys (2024)
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 (2024)
Brian Wang, Luis Antonio Garcia, Mani B. Srivastava
PrivacyOracle: Configuring Sensor Privacy Firewalls with Large Language Models in Smart Built Environments. SP (Workshops) (2024)
Jason Wu, Ziqi Wang, Xiaomin Ouyang, Ho Lyun Jeong, Colin Samplawski, Lance M. Kaplan, Benjamin M. Marlin, Mani B. Srivastava
FlexLoc: Conditional Neural Networks for Zero-Shot Sensor Perspective Invariance in Object Localization with Distributed Multimodal Sensors. CoRR (2024)
Ho Lyun Jeong, Ziqi Wang, Colin Samplawski, Jason Wu, Shiwei Fang, Lance M. Kaplan, Deepak Ganesan, Benjamin M. Marlin, Mani B. Srivastava
GDTM: An Indoor Geospatial Tracking Dataset with Distributed Multimodal Sensors. CoRR (2024)
Huatao Xu, Liying Han, Qirui Yang, Mo Li, Mani B. Srivastava
Penetrative AI: Making LLMs Comprehend the Physical World. ACL (Findings) (2024)
Liying Han, Mani B. Srivastava
An Empirical Evaluation of Neural and Neuro-symbolic Approaches to Real-time Multimodal Complex Event Detection. CoRR (2024)
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 (2024)
Akash Deep Singh, Brian Wang, Luis Garcia, Xiang Chen, Mani B. Srivastava
Understanding factors behind IoT privacy - A user's perspective on RF sensors. CoRR (2024)
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)
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)
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)
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)
Colin Samplawski, Shiwei Fang, Ziqi Wang, Deepak Ganesan, Mani B. Srivastava, Benjamin M. Marlin
Heteroskedastic Geospatial Tracking with Distributed Camera Networks. CoRR (2023)
Colin Samplawski, Shiwei Fang, Ziqi Wang, Deepak Ganesan, Mani B. Srivastava, Benjamin M. Marlin
Heteroskedastic Geospatial Tracking with Distributed Camera Networks. UAI (2023)
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)
Pragya Sharma, Mani B. Srivastava
Impact of Delays and Computation Placement on Sense-Act Application Performance in IoT. MILCOM (2023)
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)
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) (2023)
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 (2023)
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) (2023)
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)
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 (2023)
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)
Sandeep Singh Sandha, Bharathan Balaji, Luis Garcia, Mani B. Srivastava
Eagle: End-to-end Deep Reinforcement Learning based Autonomous Control of PTZ Cameras. CoRR (2023)
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)
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)
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 (2022)
Moustafa Alzantot, Luis Garcia, Mani B. Srivastava
PhysioGAN: Training High Fidelity Generative Model for Physiological Sensor Readings. CoRR (2022)
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 (2022)
Pengrui Quan, Wei-Han Lee, Mudhakar Srivatsa, Mani B. Srivastava
Enhancing Robustness in Federated Learning by Supervised Anomaly Detection. ICPR (2022)
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)
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)
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)
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)
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)
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 (2022)
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 (2022)
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 (2022)
Swapnil Sayan Saha, Sandeep Singh Sandha, Mani B. Srivastava
Machine Learning for Microcontroller-Class Hardware - A Review. CoRR (2022)
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)
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)
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)
Ziqi Wang, Brian Wang, Mani B. Srivastava
Protecting User Data Privacy with Adversarial Perturbations: Poster Abstract. IPSN (2021)
Tianwei Xing, Luis Garcia, Federico Cerutti, Lance M. Kaplan, Alun D. Preece, Mani B. Srivastava
DeepSQA: Understanding Sensor Data via Question Answering. IoTDI (2021)
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)
Joseph Noor, Mani B. Srivastava, Ravi Netravali
Portkey: Adaptive Key-Value Placement over Dynamic Edge Networks. SoCC (2021)
Sandeep Singh Sandha, Mohit Aggarwal, Swapnil Sayan Saha, Mani B. Srivastava
Enabling Hyperparameter Tuning of Machine Learning Classifiers in Production. CogMI (2021)
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 (2021)
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)
Renju Liu, Luis Garcia, Mani B. Srivastava
Aerogel: Lightweight Access Control Framework for WebAssembly-Based Bare-Metal IoT Devices. SEC (2021)
Sandeep Singh Sandha, Mohit Aggarwal, Igor Fedorov, Mani B. Srivastava
MANGO: A Python Library for Parallel Hyperparameter Tuning. CoRR (2020)
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 (2020)
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)
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)
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)
Sandeep Singh Sandha, Mohit Aggarwal, Igor Fedorov, Mani B. Srivastava
Mango: A Python Library for Parallel Hyperparameter Tuning. ICASSP (2020)
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)
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)
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)
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 (2020)
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 (2020)
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) (2020)
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) (2020)
Sandeep Singh Sandha, Joseph Noor, Fatima M. Anwar, Mani B. Srivastava
Time Awareness in Deep Learning-Based Multimodal Fusion Across Smartphone Platforms. IoTDI (2020)
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 (2020)
Bo-Jhang Ho, Bharathan Balaji, Mehmet Köseoglu, Sandeep Sandha, Siyou Pei, Mani B. Srivastava
Quick Question: Interrupting Users for Microtasks with Reinforcement Learning. CoRR (2020)
Fatima M. Anwar, Mani B. Srivastava
Applications and Challenges in Securing Time. CSET @ USENIX Security Symposium (2019)
Ayça Özçelikkale, Mehmet Köseoglu, Mani B. Srivastava, Anders Ahlén
DEEP Reinforcement Learning Based Energy Beamforming for Powering Sensor Networks. MLSP (2019)
Sandeep Singh Sandha, Joseph Noor, Fatima M. Anwar, Mani B. Srivastava
Exploiting Smartphone Peripherals for Precise Time Synchronization. ISPCS (2019)
Zhou Fang, Jeng-Hau Lin, Mani B. Srivastava, Rajesh K. Gupta
Multi-tenant mobile offloading systems for real-time computer vision applications. ICDCN (2019)
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)
Sandeep Singh Sandha, Joseph Noor, Fatima M. Anwar, Mani B. Srivastava
Exploiting Smartphone Peripherals for Precise Time Synchronization. GlobalSIP (2019)
Joseph Noor, Hsiao-Yun Tseng, Luis Garcia, Mani B. Srivastava
DDFlow: visualized declarative programming for heterogeneous IoT networks. IoTDI (2019)
Brian Wang, Mani B. Srivastava
Enabling Privacy Policies for mHealth Studies. IEEE BigData (2019)
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)
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)
Moustafa Alzantot, Ziqi Wang, Mani B. Srivastava
Deep Residual Neural Networks for Audio Spoofing Detection. CoRR (2019)
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)
Moustafa Alzantot, Amy Widdicombe, Simon Julier, Mani B. Srivastava
NeuroMask: Explaining Predictions of Deep Neural Networks through Mask Learning. CoRR (2019)
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@MobiCom (2019)
Jeya Vikranth Jeyakumar, Liangzhen Lai, Naveen Suda, Mani B. Srivastava
SenseHAR: a robust virtual activity sensor for smartphones and wearables. SenSys (2019)
Moustafa Alzantot, Ziqi Wang, Mani B. Srivastava
Deep Residual Neural Networks for Audio Spoofing Detection. INTERSPEECH (2019)
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) (2019)
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)
Fatima M. Anwar, Luis Garcia, Xi Han, Mani B. Srivastava
Securing Time in Untrusted Operating Systems with TimeSeal. RTSS (2019)
Renju Liu, Ziqi Wang, Luis Garcia, Mani B. Srivastava
RemedioT: Remedial Actions for Internet-of-Things Conflicts. BuildSys@SenSys (2019)
Moustafa Alzantot, Amy Widdicombe, Simon Julier, Mani B. Srivastava
NeuroMask: Explaining Predictions of Deep Neural Networks through Mask Learning. SMARTCOMP (2019)
Xijie Huang, Moustafa Alzantot, Mani B. Srivastava
NeuronInspect: Detecting Backdoors in Neural Networks via Output Explanations. CoRR (2019)
Paul Martin, Andrew Symington, Mani B. Srivastava
SLATS: Simultaneous Localization and Time Synchronization. ACM Trans. Cyber Phys. Syst. 2 (3) (2018)
Bo-Jhang Ho, Bharathan Balaji, Mehmet Köseoglu, Mani B. Srivastava
Nurture: Notifying Users at the Right Time Using Reinforcement Learning. UbiComp/ISWC Adjunct (2018)
Ayça Özçelikkale, Mehmet Köseoglu, Mani B. Srivastava
Optimization vs. Reinforcement Learning for Wirelessly Powered Sensor Networks. SPAWC (2018)
Amr Alanwar, Bernhard Etzlinger, Henrique Ferraz, João Pedro Hespanha, Mani B. Srivastava
SecSens: Secure State Estimation with Application to Localization and Time Synchronization. CoRR (2018)
Tianwei Xing, Sandeep Singh Sandha, Bharathan Balaji, Supriyo Chakraborty, Mani B. Srivastava
Enabling Edge Devices that Learn from Each Other: Cross Modal Training for Activity Recognition. EdgeSys@MobiSys (2018)
Zhou Fang, Mulong Luo, Tong Yu, Ole J. Mengshoel, Mani B. Srivastava, Rajesh K. Gupta
Mitigating Multi-tenant Interference in Continuous Mobile Offloading. CLOUD (2018)
Salma Elmalaki, Huey-Ru Tsai, Mani B. Srivastava
Sentio: Driver-in-the-Loop Forward Collision Warning Using Multisample Reinforcement Learning. SenSys (2018)
Moustafa Alzantot, Yash Sharma, Supriyo Chakraborty, Mani B. Srivastava
GenAttack: Practical Black-box Attacks with Gradient-Free Optimization. CoRR (2018)
Tarek F. Abdelzaher, Nora Ayanian, Tamer Basar, Suhas N. Diggavi, Jana Diesner, Deepak Ganesan, Ramesh Govindan, Susmit Jha, Tancrède Lepoint, Benjamin M. Marlin, Klara Nahrstedt, David M. Nicol, Raj Rajkumar, Stephen Russell, Sanjit A. Seshia, Fei Sha, Prashant J. Shenoy, Mani B. Srivastava, Gaurav S. Sukhatme, Ananthram Swami, Paulo Tabuada, Don Towsley, Nitin H. Vaidya, Venugopal V. Veeravalli
Will Distributed Computing Revolutionize Peace? The Emergence of Battlefield IoT. ICDCS (2018)
Moustafa Alzantot, Bharathan Balaji, Mani B. Srivastava
Did you hear that? Adversarial Examples Against Automatic Speech Recognition. CoRR (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mani B. Srivastava