Thanh Hong Nguyen

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 39

Top Topics

Imitation Learning

Multiple Independent

Preference Elicitation

Top Venues

Publications

Roman Belaire, Pradeep Varakantham, Thanh Hong Nguyen, David Lo
Regret-based Defense in Adversarial Reinforcement Learning. AAMAS (2024)
The Viet Bui, Tien Mai, Thanh Hong Nguyen
Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Competitive Games. CoRR (2023)
Changyu Chen, Ramesha Karunasena, Thanh Hong Nguyen, Arunesh Sinha, Pradeep Varakantham
Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning. CoRR (2023)
The Viet Bui, Tien Mai, Thanh Hong Nguyen
Inverse Factorized Q-Learning for Cooperative Multi-agent Imitation Learning. CoRR (2023)
Changyu Chen, Ramesha Karunasena, Thanh Hong Nguyen, Arunesh Sinha, Pradeep Varakantham
Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning. NeurIPS (2023)
Thanh Hong Nguyen, Arunesh Sinha
Behavioral Learning in Security Games: Threat of Multi-Step Manipulative Attacks. AAAI (2023)
Hangzhi Guo, Thanh Hong Nguyen, Amulya Yadav
CounterNet: End-to-End Training of Prediction Aware Counterfactual Explanations. KDD (2023)
The Viet Bui, Tien Mai, Thanh Hong Nguyen
Imitating Opponent to Win: Adversarial Policy Imitation Learning in Two-player Competitive Games. AAMAS (2023)
Chenghan Zhou, Andrew Spivey, Haifeng Xu, Thanh Hong Nguyen
Information Design for Multiple Interdependent Defenders: Work Less, Pay Off More. Games 14 (1) (2023)
Wai Tuck Wong, Sarah Eve Kinsey, Ramesha Karunasena, Thanh Hong Nguyen, Arunesh Sinha
Beyond NaN: Resiliency of Optimization Layers in the Face of Infeasibility. AAAI (2023)
Sarah Eve Kinsey, Jack Wolf, Nalini Saligram, Varun Ramesan, Meeta Walavalkar, Nidhi Jaswal, Sandhya Ramalingam, Arunesh Sinha, Thanh Hong Nguyen
Building a Personalized Messaging System for Health Intervention in Underprivileged Regions Using Reinforcement Learning. IJCAI (2023)
Thanh Hong Nguyen, Amulya Yadav
A Complete Analysis on the Risk of Using Quantal Response: When Attacker Maliciously Changes Behavior under Uncertainty. Games 13 (6) (2022)
Chenghan Zhou, Andrew Spivey, Haifeng Xu, Thanh Hong Nguyen
Information design for multiple independent and self-interested defenders: Work less, pay off more. UAI (2022)
Thanh Hong Nguyen, Amulya Yadav
The Risk of Attacker Behavioral Learning: Can Attacker Fool Defender Under Uncertainty? GameSec (2022)
Sarah Eve Kinsey, Wong Wai Tuck, Arunesh Sinha, Thanh Hong Nguyen
An Exploration of Poisoning Attacks on Data-Based Decision Making. GameSec (2022)
Hangzhi Guo, Thanh Hong Nguyen, Amulya Yadav
CounterNet: End-to-End Training of Counterfactual Aware Predictions. CoRR (2021)
Thanh Hong Nguyen, Nam Vu, Amulya Yadav, Uy Nguyen
Decoding the Imitation Security Game: Handling Attacker Imitative Behavior Deception. ECAI (2020)
Petr Tomásek, Branislav Bosanský, Thanh Hong Nguyen
Using One-Sided Partially Observable Stochastic Games for Solving Zero-Sum Security Games with Sequential Attacks. GameSec (2020)
Thanh Hong Nguyen, Arunesh Sinha, He He
Partial Adversarial Behavior Deception in Security Games. IJCAI (2020)
Thanh Hong Nguyen, Amulya Yadav, Branislav Bosanský, Yu Liang
Tackling Sequential Attacks in Security Games. GameSec (2019)
Thanh Hong Nguyen, Yongzhao Wang, Arunesh Sinha, Michael P. Wellman
Deception in Finitely Repeated Security Games. AAAI (2019)
Sarah Cooney, Kai Wang, Elizabeth Bondi, Thanh Hong Nguyen, Phebe Vayanos, Hailey Winetrobe, Edward A. Cranford, Cleotilde Gonzalez, Christian Lebiere, Milind Tambe
Learning to Signal in the Goldilocks Zone: Improving Adversary Compliance in Security Games. ECML/PKDD (1) (2019)
Sarah Cooney, Phebe Vayanos, Thanh Hong Nguyen, Cleotilde Gonzalez, Christian Lebiere, Edward A. Cranford, Milind Tambe
Warning Time: Optimizing Strategic Signaling for Security Against Boundedly Rational Adversaries. AAMAS (2019)
Thanh Hong Nguyen, Michael P. Wellman, Arunesh Sinha
Deceitful Attacks in Security Games. AAAI Workshops (2018)
Fei Fang, Thanh Hong Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Brian C. Schwedock, Milind Tambe, Andrew Lemieux
PAWS - A Deployed Game-Theoretic Application to Combat Poaching. AI Mag. 38 (1) (2017)
Thanh Hong Nguyen, Michael P. Wellman, Satinder P. Singh
A Stackelberg Game Model for Botnet Traffic Exfiltration. AAAI Workshops (2017)
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
Predicting poaching for wildlife Protection. IBM J. Res. Dev. 61 (6) (2017)
Nicole D. Sintov, Debarun Kar, Thanh Hong Nguyen, Fei Fang, Kevin Hoffman, Arnaud Lyet, Milind Tambe
Keeping it Real: Using Real-World Problems to Teach AI to Diverse Audiences. AI Mag. 38 (2) (2017)
Thanh Hong Nguyen, Arunesh Sinha, Milind Tambe
Conquering Adversary Behavioral Uncertainty in Security Games: An Efficient Modeling Robust Based Algorithm. AAAI (2016)
Thanh Hong Nguyen, Arunesh Sinha, Milind Tambe
Addressing Behavioral Uncertainty in Security Games: An Efficient Robust Strategic Solution for Defender Patrols. IPDPS Workshops (2016)
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
Protecting Wildlife under Imperfect Observation. AAAI Workshop: Computer Poker and Imperfect Information Games (2016)
Anjon Basak, Fei Fang, Thanh Hong Nguyen, Christopher Kiekintveld
Abstraction Methods for Solving Graph-Based Security Games. AAMAS Workshops (Visionary Papers) (2016)
Fei Fang, Thanh Hong Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Milind Tambe, Andrew Lemieux
Deploying PAWS: Field Optimization of the Protection Assistant for Wildlife Security. AAAI (2016)
Fei Fang, Thanh Hong Nguyen
Green security games: apply game theory to addressing green security challenges. SIGecom Exch. 15 (1) (2016)
Nicole D. Sintov, Debarun Kar, Thanh Hong Nguyen, Fei Fang, Kevin Hoffman, Arnaud Lyet, Milind Tambe
From the Lab to the Classroom and Beyond: Extending a Game-Based Research Platform for Teaching AI to Diverse Audiences. AAAI (2016)
Nika Haghtalab, Fei Fang, Thanh Hong Nguyen, Arunesh Sinha, Ariel D. Procaccia, Milind Tambe
Three Strategies to Success: Learning Adversary Models in Security Games. IJCAI (2016)
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
CAPTURE: A New Predictive Anti-Poaching Tool for Wildlife Protection. AAMAS (2016)
Anjon Basak, Fei Fang, Thanh Hong Nguyen, Christopher Kiekintveld
Combining Graph Contraction and Strategy Generation for Green Security Games. GameSec (2016)
Fei Fang, Thanh Hong Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Milind Tambe
Deploying PAWS to Combat Poaching: Game-Theoretic Patrolling in Areas with Complex Terrain (Demonstration). AAAI (2016)
Thanh Hong Nguyen, Milind Tambe
A Unifying Methodology for Confronting Uncertainties in Security Games: Advances and Algorithms: (Doctoral Consortium). AAMAS (2015)
Arunesh Sinha, Thanh Hong Nguyen, Debarun Kar, Matthew Brown, Milind Tambe, Albert Xin Jiang
From physical security to cybersecurity. J. Cybersecur. 1 (1) (2015)
Benjamin J. Ford, Thanh Hong Nguyen, Milind Tambe, Nicole D. Sintov, Francesco Maria Delle Fave
Beware the Soothsayer: From Attack Prediction Accuracy to Predictive Reliability in Security Games. GameSec (2015)
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
Making the Most of Our Regrets: Regret-Based Solutions to Handle Payoff Uncertainty and Elicitation in Green Security Games. GameSec (2015)
Thanh Hong Nguyen, Albert Xin Jiang, Milind Tambe
Stop the compartmentalization: unified robust algorithms for handling uncertainties in security games. AAMAS (2014)
Thanh Hong Nguyen, Amulya Yadav, Bo An, Milind Tambe, Craig Boutilier
Regret-Based Optimization and Preference Elicitation for Stackelberg Security Games with Uncertainty. AAAI (2014)
Jason Tsai, Thanh Hong Nguyen, Nicholas Weller, Milind Tambe
Game-Theoretic Target Selection in Contagion-Based Domains. Comput. J. 57 (6) (2014)
Thanh Hong Nguyen, James Pita, Rajiv T. Maheswaran, Milind Tambe, Amos Azaria, Sarit Kraus
Modeling human adversary decision making in security games: an initial report. AAMAS (2013)
Thanh Hong Nguyen, Rong Yang, Amos Azaria, Sarit Kraus, Milind Tambe
Analyzing the Effectiveness of Adversary Modeling in Security Games. AAAI (2013)
Albert Xin Jiang, Thanh Hong Nguyen, Milind Tambe, Ariel D. Procaccia
Monotonic Maximin: A Robust Stackelberg Solution against Boundedly Rational Followers. GameSec (2013)
Jason Tsai, Thanh Hong Nguyen, Milind Tambe
Security Games for Controlling Contagion. AAAI (2012)
Thanh Hong Nguyen, Jason Tsai, Albert Xin Jiang, Emma Bowring, Rajiv T. Maheswaran, Milind Tambe
Security Games on Social Networks. AAAI Fall Symposium: Social Networks and Social Contagion (2012)