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ORCIDBhaskar Ramasubramanian
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2020 – today
- 2024
[c29]Fengqing Jiang, Zhangchen Xu, Luyao Niu, Zhen Xiang, Bhaskar Ramasubramanian, Bo Li, Radha Poovendran:
ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMs. ACL (1) 2024: 15157-15173- [c28]Abdullah Al Maruf, Luyao Niu, Bhaskar Ramasubramanian, Andrew Clark, Radha Poovendran:
Risk-Aware Distributed Multi-Agent Reinforcement Learning. ACC 2024: 4012-4019 - [c27]Arezoo Rajabi
, Reeya Pimple, Aiswarya Janardhanan, Surudhi Asokraj, Bhaskar Ramasubramanian, Radha Poovendran:
POSTER: Double-Dip: Thwarting Label-Only Membership Inference Attacks with Transfer Learning and Randomization. AsiaCCS 2024 - [c26]Dinuka Sahabandu, Xiaojun Xu, Arezoo Rajabi, Luyao Niu, Bhaskar Ramasubramanian, Bo Li, Radha Poovendran:
POSTER: Game of Trojans: Adaptive Adversaries Against Output-based Trojaned-Model Detectors. AsiaCCS 2024 - [c25]Yuetai Li, Zhangchen Xu, Fengqing Jiang, Luyao Niu, Dinuka Sahabandu, Bhaskar Ramasubramanian, Radha Poovendran:
CleanGen: Mitigating Backdoor Attacks for Generation Tasks in Large Language Models. EMNLP 2024: 9101-9118 - [c24]Zhen Xiang, Fengqing Jiang, Zidi Xiong, Bhaskar Ramasubramanian, Radha Poovendran, Bo Li:
BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models. ICLR 2024 - [c23]Qifan Lu, Bhaskar Ramasubramanian, Radha Poovendran:
EDC: Effective and Efficient Dialog Comprehension For Dialog State Tracking. NAACL-HLT 2024: 4151-4165 - [c22]Kavya Balasubramanian, Adithya Gowda Baragur, Denis Donadel, Dinuka Sahabandu, Alessandro Brighente, Bhaskar Ramasubramanian, Mauro Conti, Radha Poovendran:
CANLP: NLP-Based Intrusion Detection System for CAN. SAC 2024: 212-214 - [i26]Zhen Xiang, Fengqing Jiang, Zidi Xiong, Bhaskar Ramasubramanian, Radha Poovendran, Bo Li:
BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models. CoRR abs/2401.12242 (2024) - [i25]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 abs/2402.01114 (2024) - [i24]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 abs/2402.08695 (2024) - [i23]Fengqing Jiang, Zhangchen Xu, Luyao Niu, Zhen Xiang, Bhaskar Ramasubramanian, Bo Li, Radha Poovendran:
ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMs. CoRR abs/2402.11753 (2024) - [i22]Yuetai Li, Zhangchen Xu, Fengqing Jiang, Luyao Niu, Dinuka Sahabandu, Bhaskar Ramasubramanian, Radha Poovendran:
CleanGen: Mitigating Backdoor Attacks for Generation Tasks in Large Language Models. CoRR abs/2406.12257 (2024) - [i21]Dinuka Sahabandu, Bhaskar Ramasubramanian, Michail S. Alexiou, J. Sukarno Mertoguno, Linda Bushnell, Radha Poovendran:
A Method for Fast Autonomy Transfer in Reinforcement Learning. CoRR abs/2407.20466 (2024) - 2023
- [j4]Luyao Niu, Bhaskar Ramasubramanian, Andrew Clark, Radha Poovendran:
Robust Satisfaction of Metric Interval Temporal Logic Objectives in Adversarial Environments. Games 14(2): 30 (2023) - [c21]Arezoo Rajabi, Dinuka Sahabandu, Luyao Niu, Bhaskar Ramasubramanian, Radha Poovendran:
LDL: A Defense for Label-Based Membership Inference Attacks. AsiaCCS 2023: 95-108 - [c20]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: 2769-2771 - [c19]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: 2232-2246 - [c18]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: 3-11 - [c17]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 - [c16]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: 133-144 - [i20]Abdullah Al Maruf, Luyao Niu, Bhaskar Ramasubramanian, Andrew Clark, Radha Poovendran:
Risk-Aware Distributed Multi-Agent Reinforcement Learning. CoRR abs/2304.02005 (2023) - [i19]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 abs/2308.15673 (2023) - 2022
- [j3]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: 61-69 (2022) - [c15]Baicen Xiao, Bhaskar Ramasubramanian, Radha Poovendran:
Agent-Temporal Attention for Reward Redistribution in Episodic Multi-Agent Reinforcement Learning. AAMAS 2022: 1391-1399 - [c14]Arezoo Rajabi, Bhaskar Ramasubramanian, Abdullah Al Maruf, Radha Poovendran:
Privacy-Preserving Reinforcement Learning Beyond Expectation. CDC 2022: 4706-4713 - [i18]Baicen Xiao, Bhaskar Ramasubramanian, Radha Poovendran:
Agent-Temporal Attention for Reward Redistribution in Episodic Multi-Agent Reinforcement Learning. CoRR abs/2201.04612 (2022) - [i17]Baicen Xiao, Bhaskar Ramasubramanian, Radha Poovendran:
Shaping Advice in Deep Reinforcement Learning. CoRR abs/2202.09489 (2022) - [i16]Arezoo Rajabi, Bhaskar Ramasubramanian, Abdullah Al Maruf, Radha Poovendran:
Privacy-Preserving Reinforcement Learning Beyond Expectation. CoRR abs/2203.10165 (2022) - [i15]Arezoo Rajabi, Bhaskar Ramasubramanian, Radha Poovendran:
Trojan Horse Training for Breaking Defenses against Backdoor Attacks in Deep Learning. CoRR abs/2203.15506 (2022) - [i14]Dinuka Sahabandu, Arezoo Rajabi, Luyao Niu, Bo Li, Bhaskar Ramasubramanian, Radha Poovendran:
Game of Trojans: A Submodular Byzantine Approach. CoRR abs/2207.05937 (2022) - [i13]Arezoo Rajabi, Dinuka Sahabandu, Luyao Niu, Bhaskar Ramasubramanian, Radha Poovendran:
LDL: A Defense for Label-Based Membership Inference Attacks. CoRR abs/2212.01688 (2022) - 2021
- [j2]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): 5665-5679 (2021) - [c13]Bhaskar Ramasubramanian, Luyao Niu, Andrew Clark, Radha Poovendran:
Reinforcement Learning Beyond Expectation. CDC 2021: 1528-1535 - [i12]Baicen Xiao, Bhaskar Ramasubramanian, Radha Poovendran:
Shaping Advice in Deep Multi-Agent Reinforcement Learning. CoRR abs/2103.15941 (2021) - [i11]Bhaskar Ramasubramanian, Luyao Niu, Andrew Clark, Radha Poovendran:
Reinforcement Learning Beyond Expectation. CoRR abs/2104.00540 (2021) - [i10]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 abs/2109.01224 (2021) - 2020
- [j1]Bhaskar Ramasubramanian, Rance Cleaveland, Steven I. Marcus:
Notions of Centralized and Decentralized Opacity in Linear Systems. IEEE Trans. Autom. Control. 65(4): 1442-1455 (2020) - [c12]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: 1512-1520 - [c11]Bhaskar Ramasubramanian, Baicen Xiao, Linda Bushnell, Radha Poovendran:
Safety-Critical Online Control with Adversarial Disturbances. CDC 2020: 3731-3738 - [c10]Bhaskar Ramasubramanian, Luyao Niu, Andrew Clark, Linda Bushnell, Radha Poovendran:
Privacy-Preserving Resilience of Cyber-Physical Systems to Adversaries. CDC 2020: 3785-3792 - [c9]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: 162-173 - [i9]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 abs/2001.06781 (2020) - [i8]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 abs/2001.09978 (2020) - [i7]Bhaskar Ramasubramanian, Luyao Niu, Andrew Clark, Linda Bushnell, Radha Poovendran:
Secure Control in Partially Observable Environments to Satisfy LTL Specifications. CoRR abs/2007.12501 (2020) - [i6]Bhaskar Ramasubramanian, Luyao Niu, Andrew Clark, Linda Bushnell, Radha Poovendran:
Privacy-Preserving Resilience of Cyber-Physical Systems to Adversaries. CoRR abs/2007.13272 (2020) - [i5]Bhaskar Ramasubramanian, Baicen Xiao, Linda Bushnell, Radha Poovendran:
Safety-Critical Online Control with Adversarial Disturbances. CoRR abs/2009.09511 (2020)
2010 – 2019
- 2019
- [c8]Bhaskar Ramasubramanian, Andrew Clark, Linda Bushnell, Radha Poovendran:
Secure Control under Partial Observability with Temporal Logic Constraints. ACC 2019: 1181-1188 - [c7]Baicen Xiao, Bhaskar Ramasubramanian, Andrew Clark, Hannaneh Hajishirzi, Linda Bushnell, Radha Poovendran:
Potential-Based Advice for Stochastic Policy Learning. CDC 2019: 1842-1849 - [c6]Bhaskar Ramasubramanian, Luyao Niu, Andrew Clark, Linda Bushnell, Radha Poovendran:
Linear Temporal Logic Satisfaction in Adversarial Environments Using Secure Control Barrier Certificates. GameSec 2019: 385-403 - [i4]Bhaskar Ramasubramanian, Rance Cleaveland, Steven I. Marcus:
Notions of Centralized and Decentralized Opacity in Linear Systems. CoRR abs/1903.06869 (2019) - [i3]Bhaskar Ramasubramanian, Andrew Clark, Linda Bushnell, Radha Poovendran:
Secure Control under Partial Observability with Temporal Logic Constraints. CoRR abs/1903.06873 (2019) - [i2]Baicen Xiao, Bhaskar Ramasubramanian, Andrew Clark, Hannaneh Hajishirzi, Linda Bushnell, Radha Poovendran:
Potential-Based Advice for Stochastic Policy Learning. CoRR abs/1907.08823 (2019) - [i1]Bhaskar Ramasubramanian, Luyao Niu, Andrew Clark, Linda Bushnell, Radha Poovendran:
Linear Temporal Logic Satisfaction in Adversarial Environments using Secure Control Barrier Certificates. CoRR abs/1910.12282 (2019) - 2017
- [c5]Bhaskar Ramasubramanian, Rance Cleaveland, Steven I. Marcus:
Opacity for switched linear systems: Notions and characterization. CDC 2017: 5310-5315 - 2016
- [c4]Bhaskar Ramasubramanian, Rance Cleaveland, Steven I. Marcus:
A framework for decentralized opacity in linear systems. Allerton 2016: 274-280 - [c3]Bhaskar Ramasubramanian, M. A. Rajan, M. Girish Chandra:
Structural resilience of cyberphysical systems under attack. ACC 2016: 283-289 - [c2]Bhaskar Ramasubramanian, Rance Cleaveland, Steven I. Marcus:
A framework for opacity in linear systems. ACC 2016: 6337-6344 - 2015
- [c1]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: 123-130
Coauthor Index
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