Explicit estimation-error-probability computation and sensor design for flag Hidden Markov Models. - Kyle Doty; Sandip Roy 002; Dinuka Sahabandu; Ramyar Saeedi (CISS, 2015)

Local open- and closed-loop manipulation of multi-agent networks. - Jackeline Abad Torres; Dinuka Sahabandu; Rahul Dhal; Sandip Roy 002 (ICCPS, 2015)

Local open-loop manipulation of multi-agent networks. - Dinuka Sahabandu; Rahul Dhal; Jackeline Abad Torres; Sandip Roy 002 (ACC, 2017)

Signal analysis and stochastic modeling of evoked responses in brain circuits grown in culture. - Mengran Xue; Ping Taishi; Dinuka Sahabandu; Sandip Roy 002; James Krueger (GlobalSIP, 2017)

Modeling and Mitigating the Coremelt Attack. - Guosong Yang; Hossein Hosseini; Dinuka Sahabandu; Andrew Clark 001; João P. Hespanha 001; Radha Poovendran (ACC, 2018)

DIFT Games: Dynamic Information Flow Tracking Games for Advanced Persistent Threats. - Dinuka Sahabandu; Baicen Xiao; Andrew Clark 001; Sangho Lee 001; Wenke Lee; Radha Poovendran (CDC, 2018)

Multi-stage Dynamic Information Flow Tracking Game. - Shana Moothedath; Dinuka Sahabandu; Andrew Clark 001; Sangho Lee 001; Wenke Lee; Radha Poovendran (GameSec, 2018)

A Game Theoretic Approach for Dynamic Information Flow Tracking to Detect Multi-Stage Advanced Persistent Threats. - Shana Moothedath; Dinuka Sahabandu; Joey Allen; Andrew Clark 001; Linda Bushnell; Wenke Lee; Radha Poovendran (CoRR, 2018)

A Game Theoretic Approach for Dynamic Information Flow Tracking with Conditional Branching. - Dinuka Sahabandu; Shana Moothedath; Linda Bushnell; Radha Poovendran; Joey Allen; Wenke Lee; Andrew Clark 001 (ACC, 2019)

Dynamic Information Flow Tracking Games for Simultaneous Detection of Multiple Attackers. - Dinuka Sahabandu; Shana Moothedath; Joey Allen; Andrew Clark 001; Linda Bushnell; Wenke Lee; Radha Poovendran (CDC, 2019)

Stochastic Dynamic Information Flow Tracking Game with Reinforcement Learning. - Dinuka Sahabandu; Shana Moothedath; Joey Allen; Linda Bushnell; Wenke Lee; Radha Poovendran (GameSec, 2019)

Submodular Input Selection for Synchronization in Kuramoto Networks. - Dinuka Sahabandu; Andrew Clark 001; Linda Bushnell; Radha Poovendran (CDC, 2020)

Quickest Detection of Advanced Persistent Threats: A Semi-Markov Game Approach. - Dinuka Sahabandu; Joey Allen; Shana Moothedath; Linda Bushnell; Wenke Lee; Radha Poovendran (ICCPS, 2020)

A Multi-Agent Reinforcement Learning Approach for Dynamic Information Flow Tracking Games for Advanced Persistent Threats. - Dinuka Sahabandu; Shana Moothedath; Joey Allen; Linda Bushnell; Wenke Lee; Radha Poovendran (CoRR, 2020)

A Game-Theoretic Approach for Dynamic Information Flow Tracking to Detect Multistage Advanced Persistent Threats. - Shana Moothedath; Dinuka Sahabandu; Joey Allen; Andrew Clark 001; Linda Bushnell; Wenke Lee; Radha Poovendran (IEEE Trans. Autom. Control., 2020)

Scalable Planning in Multi-Agent MDPs. - Dinuka Sahabandu; Luyao Niu; Andrew Clark 001; Radha Poovendran (CDC, 2021)

A Game-Theoretic Framework for Controlled Islanding in the Presence of Adversaries. - Luyao Niu; Dinuka Sahabandu; Andrew Clark 001; Radha Poovendran (GameSec, 2021)

A Submodular Optimization Approach to Stable and Minimally Disruptive Controlled Islanding in Power Systems. - Dinuka Sahabandu; Luyao Niu; Andrew Clark 001; Radha Poovendran (ACC, 2022)

Verifying Safety for Resilient Cyber-Physical Systems via Reactive Software Restart. - Luyao Niu; Dinuka Sahabandu; Andrew Clark 001; Radha Poovendran (ICCPS, 2022)

A Hybrid Submodular Optimization Approach to Controlled Islanding with Heterogeneous Loads. - Dinuka Sahabandu; Luyao Niu; Andrew Clark 001; Radha Poovendran (SmartGridComm, 2022)

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

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

A Hybrid Submodular Optimization Approach to Controlled Islanding with Post-Disturbance Stability Guarantees. - Luyao Niu; Dinuka Sahabandu; Andrew Clark 001; Radha Poovendran (CoRR, 2023)

A Natural Language Processing Approach for Instruction Set Architecture Identification. - Dinuka Sahabandu; J. Sukarno Mertoguno; Radha Poovendran (IEEE Trans. Inf. Forensics Secur., 2023)

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)

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)

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)

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)

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)

Stochastic Dynamic Information Flow Tracking game using supervised learning for detecting advanced persistent threats. - Shana Moothedath; Dinuka Sahabandu; Joey Allen; Linda Bushnell; Wenke Lee; Radha Poovendran (Autom., 2024)

Dynamic Information Flow Tracking for Detection of Advanced Persistent Threats: A Stochastic Game Approach. - Shana Moothedath; Dinuka Sahabandu; Joey Allen; Andrew Clark 001; Linda Bushnell; Wenke Lee; Radha Poovendran (IEEE Trans. Autom. Control., 2024)

RL-ARNE: A Reinforcement Learning Algorithm for Computing Average Reward Nash Equilibrium of Nonzero-Sum Stochastic Games. - Dinuka Sahabandu; Shana Moothedath; Joey Allen; Linda Bushnell; Wenke Lee; Radha Poovendran (IEEE Trans. Autom. Control., 2024)