Thanh Hong Nguyen

75 papers A* 22A 10Journal 23Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	CTPD: Cross Tokenizer Preference Distillation. AAAI Truong Nguyen, Phi Van Dat, Ngan Nguyen, Linh Ngo Van, Trung Le, Thanh Hong Nguyen
2026	J	`jnl`	CTPD: Cross Tokenizer Preference Distillation. CoRR Truong Nguyen, Phi Van Dat, Ngan Nguyen, Linh Ngo Van, Trung Le, Thanh Hong Nguyen
2025	A*	`conf`	ComaDICE: Offline Cooperative Multi-Agent Reinforcement Learning with Stationary Distribution Shift Regularization. ICLR The Viet Bui, Thanh Hong Nguyen, Tien Anh Mai
2025	J	`jnl`	MisoDICE: Multi-Agent Imitation from Unlabeled Mixed-Quality Demonstrations. CoRR The Viet Bui, Tien Anh Mai, Thanh Hong Nguyen
2025	A*	`conf`	O-MAPL: Offline Multi-agent Preference Learning. ICML The Viet Bui, Tien Anh Mai, Thanh Hong Nguyen
2025	J	`jnl`	O-MAPL: Offline Multi-agent Preference Learning. CoRR The Viet Bui, Tien Anh Mai, Thanh Hong Nguyen
2025	J	`jnl`	Preference-Guided Learning for Sparse-Reward Multi-Agent Reinforcement Learning. CoRR The Viet Bui, Tien Anh Mai, Thanh Hong Nguyen
2024	J	`jnl`	ComaDICE: Offline Cooperative Multi-Agent Reinforcement Learning with Stationary Distribution Shift Regularization. CoRR The Viet Bui, Thanh Hong Nguyen, Tien Anh Mai
2024	A*	`conf`	Inverse Factorized Soft Q-Learning for Cooperative Multi-agent Imitation Learning. NeurIPS The Viet Bui, Tien Anh Mai, Thanh Hong Nguyen
2024	A*	`conf`	Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games. NeurIPS The Viet Bui, Tien Anh Mai, Thanh Hong Nguyen
2024	A	`conf`	Regret-based Defense in Adversarial Reinforcement Learning. AAMAS Roman Belaire, Pradeep Varakantham, Thanh Hong Nguyen, David Lo
2024	A*	`conf`	Tackling Stackelberg Network Interdiction against a Boundedly Rational Adversary. IJCAI Tien Mai, Avinandan Bose, Arunesh Sinha, Thanh Hong Nguyen, Ayushman Kumar singh
2023	A*	`conf`	Behavioral Learning in Security Games: Threat of Multi-Step Manipulative Attacks. AAAI Thanh Hong Nguyen, Arunesh Sinha
2023	A*	`conf`	Beyond NaN: Resiliency of Optimization Layers in the Face of Infeasibility. AAAI Wai Tuck Wong, Sarah Eve Kinsey, Ramesha Karunasena, Thanh Hong Nguyen, Arunesh Sinha
2023	A*	`conf`	Building a Personalized Messaging System for Health Intervention in Underprivileged Regions Using Reinforcement Learning. IJCAI Sarah Eve Kinsey, Jack Wolf, Nalini Saligram, Varun Ramesan, Meeta Walavalkar, Nidhi Jaswal, Sandhya Ramalingam, Arunesh Sinha, Thanh Hong Nguyen
2023	A*	`conf`	CounterNet: End-to-End Training of Prediction Aware Counterfactual Explanations. KDD Hangzhi Guo, Thanh Hong Nguyen, Amulya Yadav
2023	A*	`conf`	Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning. NeurIPS Changyu Chen, Ramesha Karunasena, Thanh Hong Nguyen, Arunesh Sinha, Pradeep Varakantham
2023	J	`jnl`	Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning. CoRR Changyu Chen, Ramesha Karunasena, Thanh Hong Nguyen, Arunesh Sinha, Pradeep Varakantham
2023	A	`conf`	Imitating Opponent to Win: Adversarial Policy Imitation Learning in Two-player Competitive Games. AAMAS The Viet Bui, Tien Anh Mai, Thanh Hong Nguyen
2023	J	`jnl`	Information Design for Multiple Interdependent Defenders: Work Less, Pay Off More. Games Chenghan Zhou, Andrew Spivey, Haifeng Xu, Thanh Hong Nguyen
2023	J	`jnl`	Inverse Factorized Q-Learning for Cooperative Multi-agent Imitation Learning. CoRR The Viet Bui, Tien Anh Mai, Thanh Hong Nguyen
2023	J	`jnl`	Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Competitive Games. CoRR The Viet Bui, Tien Anh Mai, Thanh Hong Nguyen
2023	J	`jnl`	Tackling Stackelberg Network Interdiction against a Boundedly Rational Adversary. CoRR Tien Mai, Avinandan Bose, Arunesh Sinha, Thanh Hong Nguyen
2022	J	`jnl`	A Complete Analysis on the Risk of Using Quantal Response: When Attacker Maliciously Changes Behavior under Uncertainty. Games Thanh Hong Nguyen, Amulya Yadav
2022	A*	`conf`	Algorithmic Information Design in Multi-Player Games: Possibilities and Limits in Singleton Congestion. EC Chenghan Zhou, Thanh Hong Nguyen, Haifeng Xu
2022	—	`conf`	An Exploration of Poisoning Attacks on Data-Based Decision Making. GameSec Sarah Eve Kinsey, Wong Wai Tuck, Arunesh Sinha, Thanh Hong Nguyen
2022	J	`jnl`	Beyond NaN: Resiliency of Optimization Layers in The Face of Infeasibility. CoRR Wai Tuck Wong, Andrew Butler, Ramesha Karunasena, Thanh Hong Nguyen, Arunesh Sinha
2022	J	`jnl`	Imitating Opponent to Win: Adversarial Policy Imitation Learning in Two-player Competitive Games. CoRR The Viet Bui, Tien Anh Mai, Thanh Hong Nguyen
2022	A	`conf`	Information design for multiple independent and self-interested defenders: Work less, pay off more. UAI Chenghan Zhou, Andrew Spivey, Haifeng Xu, Thanh Hong Nguyen
2022	J	`jnl`	The Art of Manipulation: Threat of Multi-Step Manipulative Attacks in Security Games. CoRR Thanh Hong Nguyen, Arunesh Sinha
2022	—	`conf`	The Risk of Attacker Behavioral Learning: Can Attacker Fool Defender Under Uncertainty? GameSec Thanh Hong Nguyen, Amulya Yadav
2021	J	`jnl`	Algorithmic Information Design in Multi-Player Games: Possibility and Limits in Singleton Congestion. CoRR Chenghan Zhou, Thanh Hong Nguyen, Haifeng Xu
2021	J	`jnl`	CounterNet: End-to-End Training of Counterfactual Aware Predictions. CoRR Hangzhi Guo, Thanh Hong Nguyen, Amulya Yadav
2021	—	`conf`	Countering Attacker Data Manipulation in Security Games. GameSec Andrew R. Butler, Thanh Hong Nguyen, Arunesh Sinha
2020	A	`conf`	Decoding the Imitation Security Game: Handling Attacker Imitative Behavior Deception. ECAI Thanh Hong Nguyen, Nam Vu, Amulya Yadav, Uy Nguyen
2020	A*	`conf`	Partial Adversarial Behavior Deception in Security Games. IJCAI Thanh Hong Nguyen, Arunesh Sinha, He He
2020	A	`conf`	Tackling Imitative Attacker Deception in Repeated Bayesian Stackelberg Security Games. ECAI Thanh Hong Nguyen, Andrew Butler, Haifeng Xu
2020	—	`conf`	Using One-Sided Partially Observable Stochastic Games for Solving Zero-Sum Security Games with Sequential Attacks. GameSec Petr Tomásek, Branislav Bosanský, Thanh Hong Nguyen
2019	—	`ch.`	Adaptive Cyber Defenses for Botnet Detection and Mitigation. Adversarial and Uncertain Reasoning for Adaptive Cyber Defense Massimiliano Albanese, Sushil Jajodia, Sridhar Venkatesan, George Cybenko, Thanh Hong Nguyen
2019	A*	`conf`	Deception in Finitely Repeated Security Games. AAAI Thanh Hong Nguyen, Yongzhao Wang, Arunesh Sinha, Michael P. Wellman
2019	—	`ch.`	Empirical Game-Theoretic Methods for Adaptive Cyber-Defense. Adversarial and Uncertain Reasoning for Adaptive Cyber Defense Michael P. Wellman, Thanh Hong Nguyen, Mason Wright
2019	—	`conf`	Learning to Signal in the Goldilocks Zone: Improving Adversary Compliance in Security Games. ECML/PKDD (1) Sarah Cooney, Kai Wang, Elizabeth Bondi, Thanh Hong Nguyen, Phebe Vayanos, Hailey Winetrobe, Edward A. Cranford, Cleotilde Gonzalez, Christian Lebiere, Milind Tambe
2019	—	`conf`	Tackling Sequential Attacks in Security Games. GameSec Thanh Hong Nguyen, Amulya Yadav, Branislav Bosanský, Yu Liang
2019	A	`conf`	Warning Time: Optimizing Strategic Signaling for Security Against Boundedly Rational Adversaries. AAMAS Sarah Cooney, Phebe Vayanos, Thanh Hong Nguyen, Cleotilde Gonzalez, Christian Lebiere, Edward A. Cranford, Milind Tambe
2018	—	`conf`	Deceitful Attacks in Security Games. AAAI Workshops Thanh Hong Nguyen, Michael P. Wellman, Arunesh Sinha
2018	J	`jnl`	Multistage Attack Graph Security Games: Heuristic Strategies, with Empirical Game-Theoretic Analysis. Secur. Commun. Networks Thanh Hong Nguyen, Mason Wright, Michael P. Wellman, Satinder Singh
2017	—	`conf`	A Stackelberg Game Model for Botnet Data Exfiltration. GameSec Thanh Hong Nguyen, Michael P. Wellman, Satinder Singh
2017	—	`conf`	A Stackelberg Game Model for Botnet Traffic Exfiltration. AAAI Workshops Thanh Hong Nguyen, Michael P. Wellman, Satinder Singh
2017	J	`jnl`	Keeping it Real: Using Real-World Problems to Teach AI to Diverse Audiences. AI Mag. Nicole D. Sintov, Debarun Kar, Thanh Hong Nguyen, Fei Fang, Kevin Hoffman, Arnaud Lyet, Milind Tambe
2017	—	`conf`	Multi-Stage Attack Graph Security Games: Heuristic Strategies, with Empirical Game-Theoretic Analysis. MTD@CCS Thanh Hong Nguyen, Mason Wright, Michael P. Wellman, Satinder Singh
2017	J	`jnl`	PAWS - A Deployed Game-Theoretic Application to Combat Poaching. AI Mag. Fei Fang, Thanh Hong Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Brian C. Schwedock, Milind Tambe, Andrew Lemieux
2017	J	`jnl`	Predicting poaching for wildlife Protection. IBM J. Res. Dev. Fei Fang, Thanh Hong Nguyen, Arunesh Sinha, Shahrzad Gholami, Andrew J. Plumptre, Lucas Joppa, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Rob Critchlow, Colin M. Beale
2016	—	`conf`	Abstraction Methods for Solving Graph-Based Security Games. AAMAS Workshops (Visionary Papers) Anjon Basak, Fei Fang, Thanh Hong Nguyen, Christopher Kiekintveld
2016	—	`conf`	Addressing Behavioral Uncertainty in Security Games: An Efficient Robust Strategic Solution for Defender Patrols. IPDPS Workshops Thanh Hong Nguyen, Arunesh Sinha, Milind Tambe
2016	A	`conf`	CAPTURE: A New Predictive Anti-Poaching Tool for Wildlife Protection. AAMAS Thanh Hong Nguyen, Arunesh Sinha, Shahrzad Gholami, Andrew J. Plumptre, Lucas Joppa, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Rob Critchlow, Colin M. Beale
2016	—	`conf`	Combining Graph Contraction and Strategy Generation for Green Security Games. GameSec Anjon Basak, Fei Fang, Thanh Hong Nguyen, Christopher Kiekintveld
2016	A*	`conf`	Conquering Adversary Behavioral Uncertainty in Security Games: An Efficient Modeling Robust Based Algorithm. AAAI Thanh Hong Nguyen, Arunesh Sinha, Milind Tambe
2016	A*	`conf`	Deploying PAWS to Combat Poaching: Game-Theoretic Patrolling in Areas with Complex Terrain (Demonstration). AAAI Fei Fang, Thanh Hong Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Milind Tambe
2016	A*	`conf`	Deploying PAWS: Field Optimization of the Protection Assistant for Wildlife Security. AAAI Fei Fang, Thanh Hong Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Milind Tambe, Andrew Lemieux
2016	A*	`conf`	From the Lab to the Classroom and Beyond: Extending a Game-Based Research Platform for Teaching AI to Diverse Audiences. AAAI Nicole D. Sintov, Debarun Kar, Thanh Hong Nguyen, Fei Fang, Kevin Hoffman, Arnaud Lyet, Milind Tambe
2016	J	`jnl`	Green security games: apply game theory to addressing green security challenges. SIGecom Exch. Fei Fang, Thanh Hong Nguyen
2016	—	`conf`	Protecting Wildlife under Imperfect Observation. AAAI Workshop: Computer Poker and Imperfect Information Games Thanh Hong Nguyen, Arunesh Sinha, Shahrzad Gholami, Andrew J. Plumptre, Lucas Joppa, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Rob Critchlow, Colin M. Beale
2016	A*	`conf`	Three Strategies to Success: Learning Adversary Models in Security Games. IJCAI Nika Haghtalab, Fei Fang, Thanh Hong Nguyen, Arunesh Sinha, Ariel D. Procaccia, Milind Tambe
2015	A	`conf`	A Unifying Methodology for Confronting Uncertainties in Security Games: Advances and Algorithms: (Doctoral Consortium). AAMAS Thanh Hong Nguyen, Milind Tambe
2015	—	`conf`	Beware the Soothsayer: From Attack Prediction Accuracy to Predictive Reliability in Security Games. GameSec Benjamin J. Ford, Thanh Hong Nguyen, Milind Tambe, Nicole D. Sintov, Francesco Maria Delle Fave
2015	J	`jnl`	From physical security to cybersecurity. J. Cybersecur. Arunesh Sinha, Thanh Hong Nguyen, Debarun Kar, Matthew Brown, Milind Tambe, Albert Xin Jiang
2015	—	`conf`	Making the Most of Our Regrets: Regret-Based Solutions to Handle Payoff Uncertainty and Elicitation in Green Security Games. GameSec Thanh Hong Nguyen, Francesco Maria Delle Fave, Debarun Kar, Aravind S. Lakshminarayanan, Amulya Yadav, Milind Tambe, Noa Agmon, Andrew J. Plumptre, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba
2014	J	`jnl`	Game-Theoretic Target Selection in Contagion-Based Domains. Comput. J. Jason Tsai, Thanh Hong Nguyen, Nicholas Weller, Milind Tambe
2014	A*	`conf`	Regret-Based Optimization and Preference Elicitation for Stackelberg Security Games with Uncertainty. AAAI Thanh Hong Nguyen, Amulya Yadav, Bo An, Milind Tambe, Craig Boutilier
2014	A	`conf`	Stop the compartmentalization: unified robust algorithms for handling uncertainties in security games. AAMAS Thanh Hong Nguyen, Albert Xin Jiang, Milind Tambe
2013	A*	`conf`	Analyzing the Effectiveness of Adversary Modeling in Security Games. AAAI Thanh Hong Nguyen, Rong Yang, Amos Azaria, Sarit Kraus, Milind Tambe
2013	A	`conf`	Modeling human adversary decision making in security games: an initial report. AAMAS Thanh Hong Nguyen, James Pita, Rajiv T. Maheswaran, Milind Tambe, Amos Azaria, Sarit Kraus
2013	—	`conf`	Monotonic Maximin: A Robust Stackelberg Solution against Boundedly Rational Followers. GameSec Albert Xin Jiang, Thanh Hong Nguyen, Milind Tambe, Ariel D. Procaccia
2012	A*	`conf`	Security Games for Controlling Contagion. AAAI Jason Tsai, Thanh Hong Nguyen, Milind Tambe
2012	—	`conf`	Security Games on Social Networks. AAAI Fall Symposium: Social Networks and Social Contagion Thanh Hong Nguyen, Jason Tsai, Albert Xin Jiang, Emma Bowring, Rajiv T. Maheswaran, Milind Tambe