Srivastava, Mani

Non-invasive Spoofing Attacks for Anti-lock Braking Systems

Shoukry, Y., Martin, P., Tabuada, P., & Srivastava, M. (2013) · Lecture Notes in Computer Science

Security and Verification in ComputingPhysical Unclonable Functions (PUFs) and Hardware Security

Cited by 253

Deep Residual Neural Networks for Audio Spoofing Detection

Alzantot, M., Wang, Z., & Srivastava, M. B. (2019) · Interspeech 2019

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 215

Rapid Trust Calibration through Interpretable and Uncertainty-Aware AI

Tomsett, R., Preece, A., Braines, D., Cerutti, F., Chakraborty, S., Srivastava, M., Pearson, G., & Kaplan, L. (2020) · Patterns

Explainable Artificial Intelligence (XAI)Human-Automation Interaction and Safety

Cited by 186

SenseGen: A deep learning architecture for synthetic sensor data generation

Alzantot, M., Chakraborty, S., & Srivastava, M. (2017) · 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)

Privacy-Preserving Technologies in DataGenerative Adversarial Networks and Image Synthesis

Cited by 153

LLMSense: Harnessing LLMs for High-level Reasoning Over Spatiotemporal Sensor Traces

Ouyang, X., & Srivastava, M. (2024) · arXiv

Context-Aware Activity Recognition SystemsIoT and Edge/Fog Computing

Cited by 37

Enabling Edge Devices that Learn from Each Other: Cross Modal Training for Activity Recognition

Xing, T., Sandha, S. S., Balaji, B., Chakraborty, S., & Srivastava, M. (2018) · Proceedings of the 1st International Workshop on Edge Systems, Analytics and Networking

Domain Adaptation and Few-Shot LearningContext-Aware Activity Recognition Systems

Cited by 35

Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data

Saha, S. S., Sandha, S. S., & Srivastava, M. (2021) · Smart Innovation, Systems and Technologies

Context-Aware Activity Recognition SystemsHand Gesture Recognition Systems

Cited by 12

Mitigating Multi-tenant Interference in Continuous Mobile Offloading

Fang, Z., Luo, M., Yu, T., Mengshoel, O. J., Srivastava, M. B., & Gupta, R. K. (2018) · Lecture Notes in Computer Science

IoT and Edge/Fog ComputingCloud Computing and Resource Management

Cited by 4