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Thanh Hong Nguyen
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2020 – today
- 2024
- [c45]Roman Belaire, Pradeep Varakantham, Thanh Hong Nguyen, David Lo:
Regret-based Defense in Adversarial Reinforcement Learning. AAMAS 2024: 2633-2640 - [c44]Tien Mai, Avinandan Bose, Arunesh Sinha, Thanh Hong Nguyen, Ayushman Kumar singh:
Tackling Stackelberg Network Interdiction against a Boundedly Rational Adversary. IJCAI 2024: 2913-2921 - [i10]The Viet Bui, Thanh Hong Nguyen, Tien Mai:
ComaDICE: Offline Cooperative Multi-Agent Reinforcement Learning with Stationary Distribution Shift Regularization. CoRR abs/2410.01954 (2024) - 2023
- [j9]Chenghan Zhou, Andrew Spivey, Haifeng Xu, Thanh Hong Nguyen:
Information Design for Multiple Interdependent Defenders: Work Less, Pay Off More. Games 14(1): 12 (2023) - [c43]Thanh Hong Nguyen, Arunesh Sinha:
Behavioral Learning in Security Games: Threat of Multi-Step Manipulative Attacks. AAAI 2023: 9302-9309 - [c42]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: 15242-15250 - [c41]The Viet Bui, Tien Mai, Thanh Hong Nguyen:
Imitating Opponent to Win: Adversarial Policy Imitation Learning in Two-player Competitive Games. AAMAS 2023: 1285-1293 - [c40]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: 6022-6030 - [c39]Hangzhi Guo
, Thanh Hong Nguyen
CounterNet: End-to-End Training of Prediction Aware Counterfactual Explanations. KDD 2023: 577-589 - [c38]Changyu Chen, Ramesha Karunasena, Thanh Hong Nguyen, Arunesh Sinha, Pradeep Varakantham:
Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning. NeurIPS 2023 - [i9]Tien Mai, Avinandan Bose, Arunesh Sinha, Thanh Hong Nguyen:
Tackling Stackelberg Network Interdiction against a Boundedly Rational Adversary. CoRR abs/2301.12232 (2023) - [i8]The Viet Bui, Tien Mai, Thanh Hong Nguyen:
Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Competitive Games. CoRR abs/2308.10188 (2023) - [i7]The Viet Bui, Tien Mai, Thanh Hong Nguyen:
Inverse Factorized Q-Learning for Cooperative Multi-agent Imitation Learning. CoRR abs/2310.06801 (2023) - [i6]Changyu Chen, Ramesha Karunasena, Thanh Hong Nguyen, Arunesh Sinha, Pradeep Varakantham
Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning. CoRR abs/2311.15341 (2023) - 2022
- [j8]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): 81 (2022) - [c37]Thanh Hong Nguyen, Amulya Yadav:
The Risk of Attacker Behavioral Learning: Can Attacker Fool Defender Under Uncertainty? GameSec 2022: 3-22 - [c36]Sarah Eve Kinsey, Wong Wai Tuck, Arunesh Sinha, Thanh Hong Nguyen:
An Exploration of Poisoning Attacks on Data-Based Decision Making. GameSec 2022: 231-252 - [c35]Chenghan Zhou, Thanh Hong Nguyen, Haifeng Xu:
Algorithmic Information Design in Multi-Player Games: Possibilities and Limits in Singleton Congestion. EC 2022: 869 - [c34]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: 2404-2413 - [i5]Wai Tuck Wong, Andrew Butler, Ramesha Karunasena, Thanh Hong Nguyen, Arunesh Sinha:
Beyond NaN: Resiliency of Optimization Layers in The Face of Infeasibility. CoRR abs/2202.06242 (2022) - [i4]Thanh Hong Nguyen, Arunesh Sinha:
The Art of Manipulation: Threat of Multi-Step Manipulative Attacks in Security Games. CoRR abs/2202.13424 (2022) - [i3]The Viet Bui, Tien Mai, Thanh Hong Nguyen:
Imitating Opponent to Win: Adversarial Policy Imitation Learning in Two-player Competitive Games. CoRR abs/2210.16915 (2022) - 2021
- [c33]Andrew R. Butler, Thanh Hong Nguyen, Arunesh Sinha
Countering Attacker Data Manipulation in Security Games. GameSec 2021: 59-79 - [i2]Hangzhi Guo, Thanh Hong Nguyen, Amulya Yadav:
CounterNet: End-to-End Training of Counterfactual Aware Predictions. CoRR abs/2109.07557 (2021) - [i1]Chenghan Zhou, Thanh Hong Nguyen, Haifeng Xu:
Algorithmic Information Design in Multi-Player Games: Possibility and Limits in Singleton Congestion. CoRR abs/2109.12445 (2021) - 2020
- [c32]Thanh Hong Nguyen, Nam Vu, Amulya Yadav, Uy Nguyen:
Decoding the Imitation Security Game: Handling Attacker Imitative Behavior Deception. ECAI 2020: 179-186 - [c31]Thanh Hong Nguyen, Andrew Butler, Haifeng Xu:
Tackling Imitative Attacker Deception in Repeated Bayesian Stackelberg Security Games. ECAI 2020: 187-194 - [c30]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: 385-404 - [c29]Thanh Hong Nguyen, Arunesh Sinha, He He:
Partial Adversarial Behavior Deception in Security Games. IJCAI 2020: 283-289
2010 – 2019
- 2019
- [c28]Thanh Hong Nguyen, Yongzhao Wang, Arunesh Sinha, Michael P. Wellman:
Deception in Finitely Repeated Security Games. AAAI 2019: 2133-2140 - [c27]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: 1892-1894 - [c26]Thanh Hong Nguyen, Amulya Yadav, Branislav Bosanský, Yu Liang
Tackling Sequential Attacks in Security Games. GameSec 2019: 331-351 - [c25]Sarah Cooney, Kai Wang, Elizabeth Bondi, Thanh Hong Nguyen, Phebe Vayanos, Hailey Winetrobe, Edward A. Cranford
Learning to Signal in the Goldilocks Zone: Improving Adversary Compliance in Security Games. ECML/PKDD (1) 2019: 725-740 - [p2]Michael P. Wellman
Empirical Game-Theoretic Methods for Adaptive Cyber-Defense. Adversarial and Uncertain Reasoning for Adaptive Cyber Defense 2019: 112-128 - [p1]Massimiliano Albanese
Adaptive Cyber Defenses for Botnet Detection and Mitigation. Adversarial and Uncertain Reasoning for Adaptive Cyber Defense 2019: 156-205 - 2018
- [j7]Thanh Hong Nguyen
Multistage Attack Graph Security Games: Heuristic Strategies, with Empirical Game-Theoretic Analysis. Secur. Commun. Networks 2018: 2864873:1-2864873:28 (2018) - [c24]Thanh Hong Nguyen, Michael P. Wellman, Arunesh Sinha:
Deceitful Attacks in Security Games. AAAI Workshops 2018: 260-267 - 2017
- [j6]Fei Fang
PAWS - A Deployed Game-Theoretic Application to Combat Poaching. AI Mag. 38(1): 23-36 (2017) - [j5]Nicole D. Sintov, Debarun Kar, Thanh Hong Nguyen, Fei Fang
Keeping it Real: Using Real-World Problems to Teach AI to Diverse Audiences. AI Mag. 38(2): 35-47 (2017) - [j4]Fei Fang
Predicting poaching for wildlife Protection. IBM J. Res. Dev. 61(6): 3:1-3:12 (2017) - [c23]Thanh Hong Nguyen, Michael P. Wellman, Satinder Singh:
A Stackelberg Game Model for Botnet Traffic Exfiltration. AAAI Workshops 2017 - [c22]Thanh Hong Nguyen, Mason Wright, Michael P. Wellman
Multi-Stage Attack Graph Security Games: Heuristic Strategies, with Empirical Game-Theoretic Analysis. MTD@CCS 2017: 87-97 - [c21]Thanh Hong Nguyen, Michael P. Wellman
A Stackelberg Game Model for Botnet Data Exfiltration. GameSec 2017: 151-170 - 2016
- [j3]Fei Fang, Thanh Hong Nguyen:
Green security games: apply game theory to addressing green security challenges. SIGecom Exch. 15(1): 78-83 (2016) - [c20]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: 3966-3973 - [c19]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: 4355-4356 - [c18]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 - [c17]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: 4107-4112 - [c16]Thanh Hong Nguyen, Arunesh Sinha, Milind Tambe:
Conquering Adversary Behavioral Uncertainty in Security Games: An Efficient Modeling Robust Based Algorithm. AAAI 2016: 4242-4243 - [c15]Anjon Basak, Fei Fang
Abstraction Methods for Solving Graph-Based Security Games. AAMAS Workshops (Visionary Papers) 2016: 13-33 - [c14]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: 767-775 - [c13]Anjon Basak, Fei Fang
Combining Graph Contraction and Strategy Generation for Green Security Games. GameSec 2016: 251-271 - [c12]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: 308-314 - [c11]Thanh Hong Nguyen, Arunesh Sinha
Addressing Behavioral Uncertainty in Security Games: An Efficient Robust Strategic Solution for Defender Patrols. IPDPS Workshops 2016: 1831-1838 - 2015
- [j2]Arunesh Sinha
From physical security to cybersecurity. J. Cybersecur. 1(1): 19-35 (2015) - [c10]Thanh Hong Nguyen, Milind Tambe:
A Unifying Methodology for Confronting Uncertainties in Security Games: Advances and Algorithms: (Doctoral Consortium). AAMAS 2015: 1963-1964 - [c9]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: 35-56 - [c8]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: 170-191 - 2014
- [j1]Jason Tsai, Thanh Hong Nguyen, Nicholas Weller, Milind Tambe:
Game-Theoretic Target Selection in Contagion-Based Domains. Comput. J. 57(6): 893-905 (2014) - [c7]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: 756-762 - [c6]Thanh Hong Nguyen, Albert Xin Jiang, Milind Tambe:
Stop the compartmentalization: unified robust algorithms for handling uncertainties in security games. AAMAS 2014: 317-324 - 2013
- [c5]Thanh Hong Nguyen, Rong Yang, Amos Azaria, Sarit Kraus, Milind Tambe:
Analyzing the Effectiveness of Adversary Modeling in Security Games. AAAI 2013: 718-724 - [c4]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: 1297-1298 - [c3]Albert Xin Jiang, Thanh Hong Nguyen, Milind Tambe, Ariel D. Procaccia:
Monotonic Maximin: A Robust Stackelberg Solution against Boundedly Rational Followers. GameSec 2013: 119-139 - 2012
- [c2]Jason Tsai, Thanh Hong Nguyen, Milind Tambe:
Security Games for Controlling Contagion. AAAI 2012: 1464-1470 - [c1]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
Coauthor Index
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