Convex Methods for Rank-Constrained Optimization Problems. - Van Sy Mai; Dipankar Maity; Bhaskar Ramasubramanian; Michael C. Rotkowitz (SIAM Conf. on Control and its Applications, 2015)

A framework for decentralized opacity in linear systems. - Bhaskar Ramasubramanian; Rance Cleaveland; Steven I. Marcus (Allerton, 2016)

Structural resilience of cyberphysical systems under attack. - Bhaskar Ramasubramanian; M. A. Rajan; M. Girish Chandra (ACC, 2016)

A framework for opacity in linear systems. - Bhaskar Ramasubramanian; Rance Cleaveland; Steven I. Marcus (ACC, 2016)

Opacity for switched linear systems: Notions and characterization. - Bhaskar Ramasubramanian; Rance Cleaveland; Steven I. Marcus (CDC, 2017)

Opacity and Structural Resilience in Cyberphysical Systems. - Bhaskar Ramasubramanian (2018)

Secure Control under Partial Observability with Temporal Logic Constraints. - Bhaskar Ramasubramanian; Andrew Clark 001; Linda Bushnell; Radha Poovendran (ACC, 2019)

Potential-Based Advice for Stochastic Policy Learning. - Baicen Xiao; Bhaskar Ramasubramanian; Andrew Clark 001; Hannaneh Hajishirzi; Linda Bushnell; Radha Poovendran (CDC, 2019)

Linear Temporal Logic Satisfaction in Adversarial Environments Using Secure Control Barrier Certificates. - Bhaskar Ramasubramanian; Luyao Niu; Andrew Clark 001; Linda Bushnell; Radha Poovendran (GameSec, 2019)

FRESH: Interactive Reward Shaping in High-Dimensional State Spaces using Human Feedback. - Baicen Xiao; Qifan Lu; Bhaskar Ramasubramanian; Andrew Clark 001; Linda Bushnell; Radha Poovendran (AAMAS, 2020)

Safety-Critical Online Control with Adversarial Disturbances. - Bhaskar Ramasubramanian; Baicen Xiao; Linda Bushnell; Radha Poovendran (CDC, 2020)

Privacy-Preserving Resilience of Cyber-Physical Systems to Adversaries. - Bhaskar Ramasubramanian; Luyao Niu; Andrew Clark 001; Linda Bushnell; Radha Poovendran (CDC, 2020)

Control Synthesis for Cyber-Physical Systems to Satisfy Metric Interval Temporal Logic Objectives under Timing and Actuator Attacks. - Luyao Niu; Bhaskar Ramasubramanian; Andrew Clark 001; Linda Bushnell; Radha Poovendran (ICCPS, 2020)

Notions of Centralized and Decentralized Opacity in Linear Systems. - Bhaskar Ramasubramanian; Rance Cleaveland; Steven I. Marcus (IEEE Trans. Autom. Control., 2020)

Reinforcement Learning Beyond Expectation. - Bhaskar Ramasubramanian; Luyao Niu; Andrew Clark 001; Radha Poovendran (CDC, 2021)

Shaping Advice in Deep Multi-Agent Reinforcement Learning. - Baicen Xiao; Bhaskar Ramasubramanian; Radha Poovendran (CoRR, 2021)

Secure Control in Partially Observable Environments to Satisfy LTL Specifications. - Bhaskar Ramasubramanian; Luyao Niu; Andrew Clark 001; Linda Bushnell; Radha Poovendran (IEEE Trans. Autom. Control., 2021)

Agent-Temporal Attention for Reward Redistribution in Episodic Multi-Agent Reinforcement Learning. - Baicen Xiao; Bhaskar Ramasubramanian; Radha Poovendran (AAMAS, 2022)

Privacy-Preserving Reinforcement Learning Beyond Expectation. - Arezoo Rajabi; Bhaskar Ramasubramanian; Abdullah Al Maruf; Radha Poovendran (CDC, 2022)

Shaping Advice in Deep Reinforcement Learning. - Baicen Xiao; Bhaskar Ramasubramanian; Radha Poovendran (CoRR, 2022)

Trojan Horse Training for Breaking Defenses against Backdoor Attacks in Deep Learning. - Arezoo Rajabi; Bhaskar Ramasubramanian; Radha Poovendran (CoRR, 2022)

Game of Trojans: A Submodular Byzantine Approach. - Dinuka Sahabandu; Arezoo Rajabi; Luyao Niu; Bo Li 026; Bhaskar Ramasubramanian; Radha Poovendran (CoRR, 2022)

Resilience to denial-of-service and integrity attacks: A structured systems approach. - Bhaskar Ramasubramanian; M. A. Rajan; M. Girish Chandra; Rance Cleaveland; Steven I. Marcus (Eur. J. Control, 2022)

LDL: A Defense for Label-Based Membership Inference Attacks. - Arezoo Rajabi; Dinuka Sahabandu; Luyao Niu; Bhaskar Ramasubramanian; Radha Poovendran (AsiaCCS, 2023)

Cognitive Bias-Aware Dissemination Strategies for Opinion Dynamics with External Information Sources. - Abdullah Al Maruf; Luyao Niu; Bhaskar Ramasubramanian; Andrew Clark 001; Radha Poovendran (AAMAS, 2023)

MDTD: A Multi-Domain Trojan Detector for Deep Neural Networks. - Arezoo Rajabi; Surudhi Asokraj; Fengqing Jiang; Luyao Niu; Bhaskar Ramasubramanian; James A. Ritcey; Radha Poovendran (CCS, 2023)

Learning Dissemination Strategies for External Sources in Opinion Dynamic Models with Cognitive Biases. - Abdullah Al Maruf; Luyao Niu; Bhaskar Ramasubramanian; Andrew Clark 001; Radha Poovendran (IJCAI, 2023)

FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated Learning. - Jinyuan Jia 001; Zhuowen Yuan; Dinuka Sahabandu; Luyao Niu; Arezoo Rajabi; Bhaskar Ramasubramanian; Bo Li 026; Radha Poovendran (NeurIPS, 2023)

BARON: Base-Station Authentication Through Core Network for Mobility Management in 5G Networks. - Alessandro Lotto; Vaibhav Singh; Bhaskar Ramasubramanian; Alessandro Brighente; Mauro Conti; Radha Poovendran (WISEC, 2023)

Robust Satisfaction of Metric Interval Temporal Logic Objectives in Adversarial Environments. - Luyao Niu; Bhaskar Ramasubramanian; Andrew Clark 001; Radha Poovendran (Games, 2023)

ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMs. - Fengqing Jiang; Zhangchen Xu; Luyao Niu; Zhen Xiang; Bhaskar Ramasubramanian; Bo Li 026; Radha Poovendran (ACL (1), 2024)

Risk-Aware Distributed Multi-Agent Reinforcement Learning. - Abdullah Al Maruf; Luyao Niu; Bhaskar Ramasubramanian; Andrew Clark 001; Radha Poovendran (ACC, 2024)

POSTER: Double-Dip: Thwarting Label-Only Membership Inference Attacks with Transfer Learning and Randomization. - Arezoo Rajabi; Reeya Pimple; Aiswarya Janardhanan; Surudhi Asokraj; Bhaskar Ramasubramanian; Radha Poovendran (AsiaCCS, 2024)

POSTER: Game of Trojans: Adaptive Adversaries Against Output-based Trojaned-Model Detectors. - Dinuka Sahabandu; Xiaojun Xu; Arezoo Rajabi; Luyao Niu; Bhaskar Ramasubramanian; Bo Li 026; Radha Poovendran (AsiaCCS, 2024)

Sampling and Quantization-Aware Control Barrier Functions for Safety-Critical Control of Cyber-Physical Systems. - Luyao Niu; Bhaskar Ramasubramanian; Andrew Clark 001; Radha Poovendran (CDC, 2024)

CleanGen: Mitigating Backdoor Attacks for Generation Tasks in Large Language Models. - Yuetai Li; Zhangchen Xu; Fengqing Jiang; Luyao Niu; Dinuka Sahabandu; Bhaskar Ramasubramanian; Radha Poovendran (EMNLP, 2024)

Who is Responsible? Explaining Safety Violations in Multi-Agent Cyber-Physical Systems. - Luyao Niu; Hongchao Zhang; Dinuka Sahabandu; Bhaskar Ramasubramanian; Andrew Clark 001; Radha Poovendran (ICAA, 2024)

BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models. - Zhen Xiang; Fengqing Jiang; Zidi Xiong; Bhaskar Ramasubramanian; Radha Poovendran; Bo Li 026 (ICLR, 2024)

Rapid Autonomy Transfer in Reinforcement Learning with a Single Pre- Trained Critic. - Muhammad Faraz Karim; Yunjie Deng; Luyao Niu; Bhaskar Ramasubramanian; Michail S. Alexiou; Dinuka Sahabandu; Radha Poovendran; J. Sukarno Mertoguno (ICTAI, 2024)

EDC: Effective and Efficient Dialog Comprehension For Dialog State Tracking. - Qifan Lu; Bhaskar Ramasubramanian; Radha Poovendran (NAACL-HLT, 2024)

CANLP: NLP-Based Intrusion Detection System for CAN. - Kavya Balasubramanian; Adithya Gowda Baragur; Denis Donadel; Dinuka Sahabandu; Alessandro Brighente; Bhaskar Ramasubramanian; Mauro Conti; Radha Poovendran (SAC, 2024)

Double-Dip: Thwarting Label-Only Membership Inference Attacks with Transfer Learning and Randomization. - Arezoo Rajabi; Reeya Pimple; Aiswarya Janardhanan; Surudhi Asokraj; Bhaskar Ramasubramanian; Radha Poovendran (CoRR, 2024)

Game of Trojans: Adaptive Adversaries Against Output-based Trojaned-Model Detectors. - Dinuka Sahabandu; Xiaojun Xu; Arezoo Rajabi; Luyao Niu; Bhaskar Ramasubramanian; Bo Li 026; Radha Poovendran (CoRR, 2024)

A Method for Fast Autonomy Transfer in Reinforcement Learning. - Dinuka Sahabandu; Bhaskar Ramasubramanian; Michail S. Alexiou; J. Sukarno Mertoguno; Linda Bushnell; Radha Poovendran (CoRR, 2024)

Modeling and Designing Non-Pharmaceutical Interventions in Epidemics: A Submodular Approach. - Shiyu Cheng; Luyao Niu; Bhaskar Ramasubramanian; Andrew Clark 001; Radha Poovendran (IEEE Control. Syst. Lett., 2024)

Small Models Struggle to Learn from Strong Reasoners. - Yuetai Li; Xiang Yue; Zhangchen Xu; Fengqing Jiang; Luyao Niu; Bill Yuchen Lin; Bhaskar Ramasubramanian; Radha Poovendran (ACL (Findings), 2025)

CANTXSec: A Deterministic Intrusion Detection and Prevention System for CAN Bus Monitoring ECU Activations. - Denis Donadel; Kavya Balasubramanian; Alessandro Brighente; Bhaskar Ramasubramanian; Mauro Conti; Radha Poovendran (ACNS (2), 2025)

TinyV: Reducing False Negatives in Verification Improves RL for LLM Reasoning. - Zhangchen Xu; Yuetai Li; Fengqing Jiang; Bhaskar Ramasubramanian; Luyao Niu; Bill Yuchen Lin; Radha Poovendran (CoRR, 2025)

Temporal Sampling for Forgotten Reasoning in LLMs. - Yuetai Li; Zhangchen Xu; Fengqing Jiang; Bhaskar Ramasubramanian; Luyao Niu; Bill Yuchen Lin; Xiang Yue; Radha Poovendran (CoRR, 2025)

SOSBENCH: Benchmarking Safety Alignment on Scientific Knowledge. - Fengqing Jiang; Fengbo Ma; Zhangchen Xu; Yuetai Li; Bhaskar Ramasubramanian; Luyao Niu; Bo Li 026; Xianyan Chen; Zhen Xiang; Radha Poovendran (CoRR, 2025)

VisualSphinx: Large-Scale Synthetic Vision Logic Puzzles for RL. - Yichen Feng; Zhangchen Xu; Fengqing Jiang; Yuetai Li; Bhaskar Ramasubramanian; Luyao Niu; Bill Yuchen Lin; Radha Poovendran (CoRR, 2025)

Swarm-STL: A Framework for Motion Planning in Large-Scale, Multi-Swarm Systems. - Shiyu Cheng; Luyao Niu; Bhaskar Ramasubramanian; Andrew Clark 001; Radha Poovendran (CoRR, 2025)