Security Games for Controlling Contagion. - Jason Tsai; Thanh Hong Nguyen; Milind Tambe (AAAI, 2012)

Security Games on Social Networks. - Thanh Hong Nguyen; Jason Tsai; Albert Xin Jiang; Emma Bowring; Rajiv T. Maheswaran; Milind Tambe (AAAI Fall Symposium: Social Networks and Social Contagion, 2012)

Analyzing the Effectiveness of Adversary Modeling in Security Games. - Thanh Hong Nguyen; Rong Yang 001; Amos Azaria; Sarit Kraus; Milind Tambe (AAAI, 2013)

Modeling human adversary decision making in security games: an initial report. - Thanh Hong Nguyen; James Pita; Rajiv T. Maheswaran; Milind Tambe; Amos Azaria; Sarit Kraus (AAMAS, 2013)

Monotonic Maximin: A Robust Stackelberg Solution against Boundedly Rational Followers. - Albert Xin Jiang; Thanh Hong Nguyen; Milind Tambe; Ariel D. Procaccia (GameSec, 2013)

Regret-Based Optimization and Preference Elicitation for Stackelberg Security Games with Uncertainty. - Thanh Hong Nguyen; Amulya Yadav; Bo An 001; Milind Tambe; Craig Boutilier (AAAI, 2014)

Stop the compartmentalization: unified robust algorithms for handling uncertainties in security games. - Thanh Hong Nguyen; Albert Xin Jiang; Milind Tambe (AAMAS, 2014)

Game-Theoretic Target Selection in Contagion-Based Domains. - Jason Tsai; Thanh Hong Nguyen; Nicholas Weller; Milind Tambe (Comput. J., 2014)

A Unifying Methodology for Confronting Uncertainties in Security Games: Advances and Algorithms: (Doctoral Consortium). - Thanh Hong Nguyen; Milind Tambe (AAMAS, 2015)

Beware the Soothsayer: From Attack Prediction Accuracy to Predictive Reliability in Security Games. - Benjamin J. Ford; Thanh Hong Nguyen; Milind Tambe; Nicole D. Sintov; Francesco Maria Delle Fave (GameSec, 2015)

Making the Most of Our Regrets: Regret-Based Solutions to Handle Payoff Uncertainty and Elicitation in Green Security Games. - 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 (GameSec, 2015)

From physical security to cybersecurity. - Arunesh Sinha; Thanh Hong Nguyen; Debarun Kar; Matthew Brown 002; Milind Tambe; Albert Xin Jiang (J. Cybersecur., 2015)

Deploying PAWS to Combat Poaching: Game-Theoretic Patrolling in Areas with Complex Terrain (Demonstration). - Fei Fang 001; Thanh Hong Nguyen; Rob Pickles; Wai Y. Lam; Gopalasamy R. Clements; Bo An 001; Amandeep Singh; Milind Tambe (AAAI, 2016)

Deploying PAWS: Field Optimization of the Protection Assistant for Wildlife Security. - Fei Fang 001; Thanh Hong Nguyen; Rob Pickles; Wai Y. Lam; Gopalasamy R. Clements; Bo An 001; Amandeep Singh; Milind Tambe; Andrew Lemieux (AAAI, 2016)

Protecting Wildlife under Imperfect Observation. - 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 (AAAI Workshop: Computer Poker and Imperfect Information Games, 2016)

Conquering Adversary Behavioral Uncertainty in Security Games: An Efficient Modeling Robust Based Algorithm. - Thanh Hong Nguyen; Arunesh Sinha; Milind Tambe (AAAI, 2016)

From the Lab to the Classroom and Beyond: Extending a Game-Based Research Platform for Teaching AI to Diverse Audiences. - Nicole D. Sintov; Debarun Kar; Thanh Hong Nguyen; Fei Fang 001; Kevin Hoffman; Arnaud Lyet; Milind Tambe (AAAI, 2016)

Abstraction Methods for Solving Graph-Based Security Games. - Anjon Basak; Fei Fang 001; Thanh Hong Nguyen; Christopher Kiekintveld (AAMAS Workshops (Visionary Papers), 2016)

CAPTURE: A New Predictive Anti-Poaching Tool for Wildlife Protection. - 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 (AAMAS, 2016)

Combining Graph Contraction and Strategy Generation for Green Security Games. - Anjon Basak; Fei Fang 001; Thanh Hong Nguyen; Christopher Kiekintveld (GameSec, 2016)

Three Strategies to Success: Learning Adversary Models in Security Games. - Nika Haghtalab; Fei Fang 001; Thanh Hong Nguyen; Arunesh Sinha; Ariel D. Procaccia; Milind Tambe (IJCAI, 2016)

Addressing Behavioral Uncertainty in Security Games: An Efficient Robust Strategic Solution for Defender Patrols. - Thanh Hong Nguyen; Arunesh Sinha; Milind Tambe (IPDPS Workshops, 2016)

Green security games: apply game theory to addressing green security challenges. - Fei Fang 001; Thanh Hong Nguyen (SIGecom Exch., 2016)

A Stackelberg Game Model for Botnet Traffic Exfiltration. - Thanh Hong Nguyen; Michael P. Wellman; Satinder Singh 001 (AAAI Workshops, 2017)

Multi-Stage Attack Graph Security Games: Heuristic Strategies, with Empirical Game-Theoretic Analysis. - Thanh Hong Nguyen; Mason Wright; Michael P. Wellman; Satinder Singh 001 (MTD@CCS, 2017)

A Stackelberg Game Model for Botnet Data Exfiltration. - Thanh Hong Nguyen; Michael P. Wellman; Satinder Singh 001 (GameSec, 2017)

PAWS - A Deployed Game-Theoretic Application to Combat Poaching. - Fei Fang 001; Thanh Hong Nguyen; Rob Pickles; Wai Y. Lam; Gopalasamy R. Clements; Bo An 001; Amandeep Singh; Brian C. Schwedock; Milind Tambe; Andrew Lemieux (AI Mag., 2017)

Keeping it Real: Using Real-World Problems to Teach AI to Diverse Audiences. - Nicole D. Sintov; Debarun Kar; Thanh Hong Nguyen; Fei Fang 001; Kevin Hoffman; Arnaud Lyet; Milind Tambe (AI Mag., 2017)

Predicting poaching for wildlife Protection. - Fei Fang 001; 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 (IBM J. Res. Dev., 2017)

Deceitful Attacks in Security Games. - Thanh Hong Nguyen; Michael P. Wellman; Arunesh Sinha (AAAI Workshops, 2018)

Multistage Attack Graph Security Games: Heuristic Strategies, with Empirical Game-Theoretic Analysis. - Thanh Hong Nguyen; Mason Wright; Michael P. Wellman; Satinder Singh 001 (Secur. Commun. Networks, 2018)

Deception in Finitely Repeated Security Games. - Thanh Hong Nguyen; Yongzhao Wang 001; Arunesh Sinha; Michael P. Wellman (AAAI, 2019)

Warning Time: Optimizing Strategic Signaling for Security Against Boundedly Rational Adversaries. - Sarah Cooney; Phebe Vayanos; Thanh Hong Nguyen; Cleotilde Gonzalez; Christian Lebiere; Edward A. Cranford; Milind Tambe (AAMAS, 2019)

Tackling Sequential Attacks in Security Games. - Thanh Hong Nguyen; Amulya Yadav; Branislav Bosanský; Yu Liang 002 (GameSec, 2019)

Learning to Signal in the Goldilocks Zone: Improving Adversary Compliance in Security Games. - Sarah Cooney; Kai Wang 040; Elizabeth Bondi; Thanh Hong Nguyen; Phebe Vayanos; Hailey Winetrobe; Edward A. Cranford; Cleotilde Gonzalez; Christian Lebiere; Milind Tambe (ECML/PKDD (1), 2019)

Adaptive Cyber Defenses for Botnet Detection and Mitigation. - Massimiliano Albanese; Sushil Jajodia; Sridhar Venkatesan; George Cybenko; Thanh Hong Nguyen (Adversarial and Uncertain Reasoning for Adaptive Cyber Defense, 2019)

Empirical Game-Theoretic Methods for Adaptive Cyber-Defense. - Michael P. Wellman; Thanh Hong Nguyen; Mason Wright (Adversarial and Uncertain Reasoning for Adaptive Cyber Defense, 2019)

Tackling Imitative Attacker Deception in Repeated Bayesian Stackelberg Security Games. - Thanh Hong Nguyen; Andrew Butler; Haifeng Xu (ECAI, 2020)

Decoding the Imitation Security Game: Handling Attacker Imitative Behavior Deception. - Thanh Hong Nguyen; Nam Vu; Amulya Yadav; Uy Nguyen (ECAI, 2020)

Using One-Sided Partially Observable Stochastic Games for Solving Zero-Sum Security Games with Sequential Attacks. - Petr Tomásek; Branislav Bosanský; Thanh Hong Nguyen (GameSec, 2020)

Partial Adversarial Behavior Deception in Security Games. - Thanh Hong Nguyen; Arunesh Sinha; He He (IJCAI, 2020)

Countering Attacker Data Manipulation in Security Games. - Andrew R. Butler; Thanh Hong Nguyen; Arunesh Sinha (GameSec, 2021)

CounterNet: End-to-End Training of Counterfactual Aware Predictions. - Hangzhi Guo; Thanh Hong Nguyen; Amulya Yadav (CoRR, 2021)

Algorithmic Information Design in Multi-Player Games: Possibility and Limits in Singleton Congestion. - Chenghan Zhou; Thanh Hong Nguyen; Haifeng Xu (CoRR, 2021)

An Exploration of Poisoning Attacks on Data-Based Decision Making. - Sarah Eve Kinsey; Wong Wai Tuck; Arunesh Sinha; Thanh Hong Nguyen (GameSec, 2022)

The Risk of Attacker Behavioral Learning: Can Attacker Fool Defender Under Uncertainty? - Thanh Hong Nguyen; Amulya Yadav (GameSec, 2022)

Algorithmic Information Design in Multi-Player Games: Possibilities and Limits in Singleton Congestion. - Chenghan Zhou; Thanh Hong Nguyen; Haifeng Xu (EC, 2022)

Information design for multiple independent and self-interested defenders: Work less, pay off more. - Chenghan Zhou; Andrew Spivey; Haifeng Xu; Thanh Hong Nguyen (UAI, 2022)

Beyond NaN: Resiliency of Optimization Layers in The Face of Infeasibility. - Wai Tuck Wong; Andrew Butler; Ramesha Karunasena; Thanh Hong Nguyen; Arunesh Sinha (CoRR, 2022)

The Art of Manipulation: Threat of Multi-Step Manipulative Attacks in Security Games. - Thanh Hong Nguyen; Arunesh Sinha (CoRR, 2022)

A Complete Analysis on the Risk of Using Quantal Response: When Attacker Maliciously Changes Behavior under Uncertainty. - Thanh Hong Nguyen; Amulya Yadav (Games, 2022)

Behavioral Learning in Security Games: Threat of Multi-Step Manipulative Attacks. - Thanh Hong Nguyen; Arunesh Sinha (AAAI, 2023)

Beyond NaN: Resiliency of Optimization Layers in the Face of Infeasibility. - Wai Tuck Wong; Sarah Eve Kinsey; Ramesha Karunasena; Thanh Hong Nguyen; Arunesh Sinha (AAAI, 2023)

Imitating Opponent to Win: Adversarial Policy Imitation Learning in Two-player Competitive Games. - The Viet Bui; Tien Mai; Thanh Hong Nguyen (AAMAS, 2023)

Building a Personalized Messaging System for Health Intervention in Underprivileged Regions Using Reinforcement Learning. - Sarah Eve Kinsey; Jack Wolf; Nalini Saligram; Varun Ramesan; Meeta Walavalkar; Nidhi Jaswal; Sandhya Ramalingam; Arunesh Sinha; Thanh Hong Nguyen (IJCAI, 2023)

CounterNet: End-to-End Training of Prediction Aware Counterfactual Explanations. - Hangzhi Guo; Thanh Hong Nguyen; Amulya Yadav (KDD, 2023)

Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning. - Changyu Chen; Ramesha Karunasena; Thanh Hong Nguyen; Arunesh Sinha; Pradeep Varakantham (NeurIPS, 2023)

Tackling Stackelberg Network Interdiction against a Boundedly Rational Adversary. - Tien Mai; Avinandan Bose; Arunesh Sinha; Thanh Hong Nguyen (CoRR, 2023)

Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Competitive Games. - The Viet Bui; Tien Mai; Thanh Hong Nguyen (CoRR, 2023)

Inverse Factorized Q-Learning for Cooperative Multi-agent Imitation Learning. - The Viet Bui; Tien Mai; Thanh Hong Nguyen (CoRR, 2023)

Information Design for Multiple Interdependent Defenders: Work Less, Pay Off More. - Chenghan Zhou; Andrew Spivey; Haifeng Xu; Thanh Hong Nguyen (Games, 2023)

Regret-based Defense in Adversarial Reinforcement Learning. - Roman Belaire; Pradeep Varakantham; Thanh Hong Nguyen; David Lo 001 (AAMAS, 2024)

Tackling Stackelberg Network Interdiction against a Boundedly Rational Adversary. - Tien Mai; Avinandan Bose; Arunesh Sinha; Thanh Hong Nguyen; Ayushman Kumar singh (IJCAI, 2024)

Inverse Factorized Soft Q-Learning for Cooperative Multi-agent Imitation Learning. - The Viet Bui; Tien Mai; Thanh Hong Nguyen (NeurIPS, 2024)

Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games. - The Viet Bui; Tien Mai; Thanh Hong Nguyen (NeurIPS, 2024)

ComaDICE: Offline Cooperative Multi-Agent Reinforcement Learning with Stationary Distribution Shift Regularization. - The Viet Bui; Thanh Hong Nguyen; Tien Mai (ICLR, 2025)

O-MAPL: Offline Multi-agent Preference Learning. - The Viet Bui; Tien Mai; Thanh Hong Nguyen (CoRR, 2025)

MisoDICE: Multi-Agent Imitation from Unlabeled Mixed-Quality Demonstrations. - The Viet Bui; Tien Mai; Thanh Hong Nguyen (CoRR, 2025)