| 2025 | ICLR | On Minimizing Adversarial Counterfactual Error in Adversarial Reinforcement Learning. | Roman Belaire, Arunesh Sinha, Pradeep Varakantham |
| 2025 | ICLR | Bootstrapping Language Models with DPO Implicit Rewards. | Changyu Chen, Zichen Liu, Chao Du, Tianyu Pang, Qian Liu, Arunesh Sinha, Pradeep Varakantham, Min Lin |
| 2025 | ICLR | Semantic Loss Guided Data Efficient Supervised Fine Tuning for Safe Responses in LLMs. | Yuxiao Lu, Arunesh Sinha, Pradeep Varakantham |
| 2025 | IJCNN | Heterogeneous Graph Generation: A Hierarchical Approach using Node Feature Pooling. | Hritaban Ghosh, Changyu Chen, Arunesh Sinha, Shamik Sural |
| 2024 | AAAI | Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning. | Yuxiao Lu, Arunesh Sinha, Pradeep Varakantham |
| 2024 | IJCAI | Tackling Stackelberg Network Interdiction against a Boundedly Rational Adversary. | Tien Mai, Avinandan Bose, Arunesh Sinha, Thanh Hong Nguyen, Ayushman Kumar Singh |
| 2024 | SP | Baffle: Hiding Backdoors in Offline Reinforcement Learning Datasets. | Chen Gong, Zhou Yang, Yunpeng Bai, Junda He, Jieke Shi, Kecen Li, Arunesh Sinha, Bowen Xu, Xinwen Hou, David Lo, Tianhao Wang |
| 2023 | AAAI | A Fair Incentive Scheme for Community Health Workers. | Avinandan Bose, Tracey Li, Arunesh Sinha, Tien Mai |
| 2023 | AAAI | Securing Lifelines: Safe Delivery of Critical Services in Areas with Volatile Security Situation via a Stackelberg Game Approach. | Tien Mai, Arunesh Sinha |
| 2023 | AAAI | Behavioral Learning in Security Games: Threat of Multi-Step Manipulative Attacks. | Thanh Hong Nguyen, Arunesh Sinha |
| 2023 | AAAI | Beyond NaN: Resiliency of Optimization Layers in the Face of Infeasibility. | Wai Tuck Wong, Sarah Eve Kinsey, Ramesha Karunasena, Thanh Hong Nguyen, Arunesh Sinha |
| 2023 | IJCAI | 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 |
| 2022 | AAAI | Multiscale Generative Models: Improving Performance of a Generative Model Using Feedback from Other Dependent Generative Models. | Changyu Chen, Avinandan Bose, Shih-Fen Cheng, Arunesh Sinha |
| 2022 | AAAI | Choices Are Not Independent: Stackelberg Security Games with Nested Quantal Response Models. | Tien Mai, Arunesh Sinha |
| 2022 | ACSAC | Curiosity-Driven and Victim-Aware Adversarial Policies. | Chen Gong, Zhou Yang, Yunpeng Bai, Jieke Shi, Arunesh Sinha, Bowen Xu, David Lo, Xinwen Hou, Guoliang Fan |
| 2022 | COMSNETS | AI and Security: A Game Perspective. | Arunesh Sinha |
| 2022 | CP | Trajectory Optimization for Safe Navigation in Maritime Traffic Using Historical Data. | Chaithanya Basrur, Arambam James Singh, Arunesh Sinha, Akshat Kumar, T. K. Satish Kumar |
| 2021 | ICMLA | Building Action Sets in a Deep Reinforcement Learner. | Yongzhao Wang, Arunesh Sinha, Sky CH-Wang, Michael P. Wellman |
| 2020 | AAAI | Bounding Regret in Empirical Games. | Steven Jecmen, Arunesh Sinha, Zun Li, Long Tran-Thanh |
| 2020 | AAAI | Generating Realistic Stock Market Order Streams. | Junyi Li, Xintong Wang, Yaoyang Lin, Arunesh Sinha, Michael P. Wellman |
| 2020 | AAAI | Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning. | Sanket Shah, Arunesh Sinha, Pradeep Varakantham, Andrew Perrault, Milind Tambe |
| 2020 | IJCAI | Partial Adversarial Behavior Deception in Security Games. | Thanh Hong Nguyen, Arunesh Sinha, He He |
| 2019 | AAAI | Deception in Finitely Repeated Security Games. | Thanh Hong Nguyen, Yongzhao Wang, Arunesh Sinha, Michael P. Wellman |
| 2019 | EC | Adversarial Contract Design for Private Data Commercialization. | Parinaz Naghizadeh, Arunesh Sinha |
| 2018 | AAAI | Deceitful Attacks in Security Games. | Thanh Hong Nguyen, Michael P. Wellman, Arunesh Sinha |
| 2018 | IJCAI | The Price of Usability: Designing Operationalizable Strategies for Security Games. | Sara Marie McCarthy, Corine M. Laan, Kai Wang, Phebe Vayanos, Arunesh Sinha, Milind Tambe |
| 2018 | IJCAI | Stackelberg Security Games: Looking Beyond a Decade of Success. | Arunesh Sinha, Fei Fang, Bo An, Christopher Kiekintveld, Milind Tambe |
| 2017 | CCS | 10th International Workshop on Artificial Intelligence and Security (AISec 2017). | Battista Biggio, David Freeman, Brad Miller, Arunesh Sinha |
| 2017 | IJCAI | Don't Bury your Head in Warnings: A Game-Theoretic Approach for Intelligent Allocation of Cyber-security Alerts. | Aaron Schlenker, Haifeng Xu, Mina Guirguis, Christopher Kiekintveld, Arunesh Sinha, Milind Tambe, Solomon Y. Sonya, Darryl Balderas, Noah Dunstatter |
| 2016 | AAAI | One Size Does Not Fit All: A Game-Theoretic Approach for Dynamically and Effectively Screening for Threats. | Matthew Brown, Arunesh Sinha, Aaron Schlenker, Milind Tambe |
| 2016 | AAAI | 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 |
| 2016 | AAAI | Conquering Adversary Behavioral Uncertainty in Security Games: An Efficient Modeling Robust Based Algorithm. | Thanh Hong Nguyen, Arunesh Sinha, Milind Tambe |
| 2016 | CCS | 9th International Workshop on Artificial Intelligence and Security: AISec 2016. | David Mandell Freeman, Katerina Mitrokotsa, Arunesh Sinha |
| 2016 | ECAI | Get Me to My GATE on Time: Efficiently Solving General-Sum Bayesian Threat Screening Games. | Aaron Schlenker, Matthew Brown, Arunesh Sinha, Milind Tambe, Ruta Mehta |
| 2016 | IJCAI | Three Strategies to Success: Learning Adversary Models in Security Games. | Nika Haghtalab, Fei Fang, Thanh Hong Nguyen, Arunesh Sinha, Ariel D. Procaccia, Milind Tambe |
| 2016 | PAAMS | Protecting the NECTAR of the Ganga River Through Game-Theoretic Factory Inspections. | Benjamin J. Ford, Matthew Brown, Amulya Yadav, Amandeep Singh, Arunesh Sinha, Biplav Srivastava, Christopher Kiekintveld, Milind Tambe |
| 2015 | AAAI | Audit Games with Multiple Defender Resources. | Jeremiah Blocki, Nicolas Christin, Anupam Datta, Ariel D. Procaccia, Arunesh Sinha |
| 2015 | CCS | Workshop Summary of AISec'15: 2015 Workshop on Artificial Intelligent and Security. | Christos Dimitrakakis, Aikaterini Mitrokotsa, Arunesh Sinha |
| 2015 | IJCAI | Incentivizing Peer Grading in MOOCS: An Audit Game Approach. | Alejandro Uriel Carbonara, Anupam Datta, Arunesh Sinha, Yair Zick |
| 2015 | IJCAI | Security Games with Information Leakage: Modeling and Computation. | Haifeng Xu, Albert Xin Jiang, Arunesh Sinha, Zinovi Rabinovich, Shaddin Dughmi, Milind Tambe |
| 2013 | CCS | What you want is not what you get: predicting sharing policies for text-based content on facebook. | Arunesh Sinha, Yan Li, Lujo Bauer |
| 2013 | IJCAI | Audit Games. | Jeremiah Blocki, Nicolas Christin, Anupam Datta, Ariel D. Procaccia, Arunesh Sinha |
| 2011 | ICISS | Understanding and Protecting Privacy: Formal Semantics and Principled Audit Mechanisms. | Anupam Datta, Jeremiah Blocki, Nicolas Christin, Henry DeYoung, Deepak Garg, Limin Jia, Dilsun Kirli Kaynar, Arunesh Sinha |