Bhaskar Ramasubramanian

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 49

Top Topics

Partially Observable Environments

Reinforcement Learning

Top Venues

Publications

Fengqing Jiang, Zhangchen Xu, Luyao Niu, Zhen Xiang, Bhaskar Ramasubramanian, Bo Li, Radha Poovendran
ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMs. CoRR (2024)
Arezoo Rajabi, Reeya Pimple, Aiswarya Janardhanan, Surudhi Asokraj, Bhaskar Ramasubramanian, Radha Poovendran
Double-Dip: Thwarting Label-Only Membership Inference Attacks with Transfer Learning and Randomization. CoRR (2024)
Zhen Xiang, Fengqing Jiang, Zidi Xiong, Bhaskar Ramasubramanian, Radha Poovendran, Bo Li
BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models. CoRR (2024)
Dinuka Sahabandu, Xiaojun Xu, Arezoo Rajabi, Luyao Niu, Bhaskar Ramasubramanian, Bo Li, Radha Poovendran
Game of Trojans: Adaptive Adversaries Against Output-based Trojaned-Model Detectors. CoRR (2024)
Abdullah Al Maruf, Luyao Niu, Bhaskar Ramasubramanian, Andrew Clark, Radha Poovendran
Cognitive Bias-Aware Dissemination Strategies for Opinion Dynamics with External Information Sources. AAMAS (2023)
Arezoo Rajabi, Surudhi Asokraj, Fengqing Jiang, Luyao Niu, Bhaskar Ramasubramanian, James A. Ritcey, Radha Poovendran
MDTD: A Multi Domain Trojan Detector for Deep Neural Networks. CoRR (2023)
Luyao Niu, Bhaskar Ramasubramanian, Andrew Clark, Radha Poovendran
Robust Satisfaction of Metric Interval Temporal Logic Objectives in Adversarial Environments. Games 14 (2) (2023)
Jinyuan Jia, Zhuowen Yuan, Dinuka Sahabandu, Luyao Niu, Arezoo Rajabi, Bhaskar Ramasubramanian, Bo Li, Radha Poovendran
FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated Learning. NeurIPS (2023)
Arezoo Rajabi, Surudhi Asokraj, Fengqing Jiang, Luyao Niu, Bhaskar Ramasubramanian, James A. Ritcey, Radha Poovendran
MDTD: A Multi-Domain Trojan Detector for Deep Neural Networks. CCS (2023)
Abdullah Al Maruf, Luyao Niu, Bhaskar Ramasubramanian, Andrew Clark, Radha Poovendran
Risk-Aware Distributed Multi-Agent Reinforcement Learning. CoRR (2023)
Alessandro Lotto, Vaibhav Singh, Bhaskar Ramasubramanian, Alessandro Brighente, Mauro Conti, Radha Poovendran
BARON: Base-Station Authentication Through Core Network for Mobility Management in 5G Networks. WISEC (2023)
Arezoo Rajabi, Dinuka Sahabandu, Luyao Niu, Bhaskar Ramasubramanian, Radha Poovendran
LDL: A Defense for Label-Based Membership Inference Attacks. AsiaCCS (2023)
Abdullah Al Maruf, Luyao Niu, Bhaskar Ramasubramanian, Andrew Clark, Radha Poovendran
Learning Dissemination Strategies for External Sources in Opinion Dynamic Models with Cognitive Biases. IJCAI (2023)
Baicen Xiao, Bhaskar Ramasubramanian, Radha Poovendran
Shaping Advice in Deep Reinforcement Learning. CoRR (2022)
Bhaskar Ramasubramanian, M. A. Rajan, M. Girish Chandra, Rance Cleaveland, Steven I. Marcus
Resilience to denial-of-service and integrity attacks: A structured systems approach. Eur. J. Control 63 (2022)
Dinuka Sahabandu, Arezoo Rajabi, Luyao Niu, Bo Li, Bhaskar Ramasubramanian, Radha Poovendran
Game of Trojans: A Submodular Byzantine Approach. CoRR (2022)
Arezoo Rajabi, Bhaskar Ramasubramanian, Abdullah Al Maruf, Radha Poovendran
Privacy-Preserving Reinforcement Learning Beyond Expectation. CoRR (2022)
Baicen Xiao, Bhaskar Ramasubramanian, Radha Poovendran
Agent-Temporal Attention for Reward Redistribution in Episodic Multi-Agent Reinforcement Learning. CoRR (2022)
Baicen Xiao, Bhaskar Ramasubramanian, Radha Poovendran
Agent-Temporal Attention for Reward Redistribution in Episodic Multi-Agent Reinforcement Learning. AAMAS (2022)
Arezoo Rajabi, Dinuka Sahabandu, Luyao Niu, Bhaskar Ramasubramanian, Radha Poovendran
LDL: A Defense for Label-Based Membership Inference Attacks. CoRR (2022)
Arezoo Rajabi, Bhaskar Ramasubramanian, Abdullah Al Maruf, Radha Poovendran
Privacy-Preserving Reinforcement Learning Beyond Expectation. CDC (2022)
Arezoo Rajabi, Bhaskar Ramasubramanian, Radha Poovendran
Trojan Horse Training for Breaking Defenses against Backdoor Attacks in Deep Learning. CoRR (2022)
Bhaskar Ramasubramanian, M. A. Rajan, M. Girish Chandra, Rance Cleaveland, Steven I. Marcus
Resilience to Denial-of-Service and Integrity Attacks: A Structured Systems Approach. CoRR (2021)
Baicen Xiao, Bhaskar Ramasubramanian, Radha Poovendran
Shaping Advice in Deep Multi-Agent Reinforcement Learning. CoRR (2021)
Bhaskar Ramasubramanian, Luyao Niu, Andrew Clark, Linda Bushnell, Radha Poovendran
Secure Control in Partially Observable Environments to Satisfy LTL Specifications. IEEE Trans. Autom. Control. 66 (12) (2021)
Bhaskar Ramasubramanian, Luyao Niu, Andrew Clark, Radha Poovendran
Reinforcement Learning Beyond Expectation. CDC (2021)
Bhaskar Ramasubramanian, Luyao Niu, Andrew Clark, Radha Poovendran
Reinforcement Learning Beyond Expectation. CoRR (2021)
Baicen Xiao, Qifan Lu, Bhaskar Ramasubramanian, Andrew Clark, Linda Bushnell, Radha Poovendran
FRESH: Interactive Reward Shaping in High-Dimensional State Spaces using Human Feedback. AAMAS (2020)
Luyao Niu, Bhaskar Ramasubramanian, Andrew Clark, Linda Bushnell, Radha Poovendran
Control Synthesis for Cyber-Physical Systems to Satisfy Metric Interval Temporal Logic Objectives under Timing and Actuator Attacks. CoRR (2020)
Bhaskar Ramasubramanian, Baicen Xiao, Linda Bushnell, Radha Poovendran
Safety-Critical Online Control with Adversarial Disturbances. CoRR (2020)
Baicen Xiao, Qifan Lu, Bhaskar Ramasubramanian, Andrew Clark, Linda Bushnell, Radha Poovendran
FRESH: Interactive Reward Shaping in High-Dimensional State Spaces using Human Feedback. CoRR (2020)
Bhaskar Ramasubramanian, Baicen Xiao, Linda Bushnell, Radha Poovendran
Safety-Critical Online Control with Adversarial Disturbances. CDC (2020)
Luyao Niu, Bhaskar Ramasubramanian, Andrew Clark, Linda Bushnell, Radha Poovendran
Control Synthesis for Cyber-Physical Systems to Satisfy Metric Interval Temporal Logic Objectives under Timing and Actuator Attacks. ICCPS (2020)
Bhaskar Ramasubramanian, Luyao Niu, Andrew Clark, Linda Bushnell, Radha Poovendran
Privacy-Preserving Resilience of Cyber-Physical Systems to Adversaries. CoRR (2020)
Bhaskar Ramasubramanian, Luyao Niu, Andrew Clark, Linda Bushnell, Radha Poovendran
Privacy-Preserving Resilience of Cyber-Physical Systems to Adversaries. CDC (2020)
Bhaskar Ramasubramanian, Luyao Niu, Andrew Clark, Linda Bushnell, Radha Poovendran
Secure Control in Partially Observable Environments to Satisfy LTL Specifications. CoRR (2020)
Bhaskar Ramasubramanian, Rance Cleaveland, Steven I. Marcus
Notions of Centralized and Decentralized Opacity in Linear Systems. IEEE Trans. Autom. Control. 65 (4) (2020)
Bhaskar Ramasubramanian, Luyao Niu, Andrew Clark, Linda Bushnell, Radha Poovendran
Linear Temporal Logic Satisfaction in Adversarial Environments Using Secure Control Barrier Certificates. GameSec (2019)
Baicen Xiao, Bhaskar Ramasubramanian, Andrew Clark, Hannaneh Hajishirzi, Linda Bushnell, Radha Poovendran
Potential-Based Advice for Stochastic Policy Learning. CDC (2019)
Baicen Xiao, Bhaskar Ramasubramanian, Andrew Clark, Hannaneh Hajishirzi, Linda Bushnell, Radha Poovendran
Potential-Based Advice for Stochastic Policy Learning. CoRR (2019)
Bhaskar Ramasubramanian, Andrew Clark, Linda Bushnell, Radha Poovendran
Secure Control under Partial Observability with Temporal Logic Constraints. CoRR (2019)
Bhaskar Ramasubramanian, Rance Cleaveland, Steven I. Marcus
Notions of Centralized and Decentralized Opacity in Linear Systems. CoRR (2019)
Bhaskar Ramasubramanian, Andrew Clark, Linda Bushnell, Radha Poovendran
Secure Control under Partial Observability with Temporal Logic Constraints. ACC (2019)
Bhaskar Ramasubramanian, Luyao Niu, Andrew Clark, Linda Bushnell, Radha Poovendran
Linear Temporal Logic Satisfaction in Adversarial Environments using Secure Control Barrier Certificates. CoRR (2019)
Bhaskar Ramasubramanian, Rance Cleaveland, Steven I. Marcus
Opacity for switched linear systems: Notions and characterization. CDC (2017)
Bhaskar Ramasubramanian, M. A. Rajan, M. Girish Chandra
Structural resilience of cyberphysical systems under attack. ACC (2016)
Bhaskar Ramasubramanian, Rance Cleaveland, Steven I. Marcus
A framework for opacity in linear systems. ACC (2016)
Bhaskar Ramasubramanian, Rance Cleaveland, Steven I. Marcus
A framework for decentralized opacity in linear systems. Allerton (2016)
Van Sy Mai, Dipankar Maity, Bhaskar Ramasubramanian, Michael C. Rotkowitz
Convex Methods for Rank-Constrained Optimization Problems. SIAM Conf. on Control and its Applications (2015)