ARUNESH SINHA
Journal articles are indicated by [JO]. Book chapters are indicated by [BC]. Workshop papers are not listed here.
Alphabetical ordering of authors is indicated by [ALPHABETA]


    2023
C. Chen, R. Karunasena, T. H. Nguyen, A. Sinha, P. Varakantham. Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning, in Advances in Neural and Information Processing Systems (NeurIPS), Dec 2023. [Long Version]
S. Johnson-Yu, J. Finocchiaro, K. Wang, Y. Vorobeychik, A. Sinha, A. Taneja, and M. Tambe. Characterizing and Improving the Robustness of Predict-Then-Optimize Frameworks, in Conference on Decision and Game Theory for Security (GameSec), Oct 2023.
S. Kinsey, J. Wolf, N. Saligram, V. Ramesan, M. Walavalkar, N. Jaswal, S. Ramalingam, A. Sinha, T. H. Nguyen. Building a Personalized Messaging System for Health Intervention in Underprivileged Regions Using Reinforcement Learning, in Proceedings of 32nd International Joint Conference on Artificial Intelligence (IJCAI), AI for Good Track, Aug 2023.
T. Mai, A. Sinha. Securing Lifelines: Safe Delivery of Critical Services in Areas with Volatile Security Situation via a Stackelberg Game Approach, in Proceedings of 37th AAAI Conference on Artificial Intelligence (AAAI), Feb 2023. [Long Version]
T. H. Nguyen, A. Sinha. Behavioral Learning in Security Games: Threat of Multi-Step Manipulative Attacks, in Proceedings of 37th AAAI Conference on Artificial Intelligence (AAAI), Feb 2023. [Long Version]
W. W. Tuck, S. Kinsey, R. Karunasena, T. H. Nguyen, A.Sinha. Beyond NaN: Resiliency of Optimization Layers in The Face of Infeasibility, in Proceedings of 37th AAAI Conference on Artificial Intelligence (AAAI), Safe & Robust AI track, Feb 2023. [Long Version]
A. Bose, T. Li, A. Sinha, T. Mai. A Fair Incentive Scheme for Community Health Workers, in Proceedings of 37th AAAI Conference on Artificial Intelligence (AAAI), AI for Social Impact track, Feb 2023. [Long Version]
    2022
A. Bose, A. Sinha, T. Mai. Scalable Distributional Robustness in a Class of Non-Convex Optimization with Guarantees, in Advances in Neural and Information Processing Systems (NeurIPS), Dec 2022. [Long Version]
C. Gong, Z. Yang, Y. Bai, J. Shi, A. Sinha, B. Xu, D. Lo, X. Hou, G. Fan. Curiosity-Driven and Victim-Aware Adversarial Policies, in the Proceedings of the Annual Computer Security Applications Conference (ACSAC), Dec 2022.
S. Kinsey, W. W. Tuck, A. Sinha, T. H. Nguyen. An Exploration of Poisoning Attacks on Data-based Decision Making, in Proceedings of the Conference on Decision and Game Theory for Security (GameSec), Oct 2022.
C. Basrur, A. J. Singh, A. Sinha, A. Kumar, T.K S. Kumar. Trajectory Optimization for Safe Navigation in Maritime Traffic Using Historical Data, in Proceedings of International Conference on Principles and Practice of Constraint Programming (CP-2022, ML Track), Aug 2022.
C. Chen, A. Bose, S. Cheng, A. Sinha. Multiscale Generative Models: Improving Performance of a Generative Model Using Feedback from Other Dependent Generative Models, in Proceedings of 36th AAAI Conference on Artificial Intelligence (AAAI), Feb 2022. [Long Version]
T. Mai, A. Sinha. Choices Are Not Independent: Stackelberg Security Games with Nested Quantal Response Models, in Proceedings of 36th AAAI Conference on Artificial Intelligence (AAAI), Feb 2022. [Long Version]
A.Sinha. AI and Security: A Game Perspective, in Proceedings of 14th International Conference on COMmunication Systems & NETworkS (COMSNETS) [Short paper with invited talk], Jan 2023
    2021
Y. Wang, A. Sinha, S. CH-Wang, M. P. Wellman. Building Action Sets in a Deep Reinforcement Learner, in Proceedings of the 20th IEEE International Conference on Machine Learning and Applications (ICMLA), Dec 2021
A. R. Butler, T. H. Nguyen, A. Sinha. Countering Attacker Data Manipulation in Security Games, in Proceedings of Conference on Decision and Game Theory for Security (GameSec), Oct 2021
R. Karunasena, M. S. Ambiya, A. Sinha, R. Nagar, S. Dalal, H. Abdullah, D. Thakkar, D. Narayanan, M. Tambe. Measuring Data Collection Diligence for Community Healthcare, in ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), Oct 2021 
C. Basrur, A. J. Singh, A. Sinha, A. Kumar. Ship-GAN: Generative Modeling Based Maritime Traffic Simulator, in Proceedings of 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS) (Demonstration Track), May 2021
    2020
A. Perrault, F. Fang, A. Sinha, M. Tambe. Artificial Intelligence for Social Impact: Learning and Planning in the Data-to-Deployment Pipeline, 2020, AI Magazine, 41(4), 3-16.  
T. H. Nguyen, A. Sinha, H. He. Partial Adversarial Behavior Deception in Security Games, in Proceedings of 29th International Joint Conference on Artificial Intelligence (IJCAI), sometime in 2020
H. Ou, A. Sinha, S. Suen, A. Perrault, A. Raval, M. Tambe. Who and When to Screen: Multi-Round Active Screening for Network Recurrent Infectious Diseases Under Uncertainty, in Proceedings of 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2020
[JO] A. Shah*, A. Sinha*, R. Ganesan, S. Jajodia, H. Cam. Two can play that game: An adversarial evaluation of a cyber-alert inspection system, in ACM Transactions on Intelligent Systems and Technology (TIST). [*=Joint lead authors]
S. Jecmen, A. Sinha, Z. Li, L. Tran-Thanh. Bounding Regret in Empirical Games, in Proceedings of 34rd AAAI Conference on Artificial Intelligence (AAAI), Feb 2020. [Full version with appendix]
S. Shah, A. Sinha, P. Varakantham, A. Perrault, M. Tambe. Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning, in Proceedings of 34rd AAAI Conference on Artificial Intelligence (AAAI), Feb 2020.
J. Li, X. Wang, Y. Lin, A. Sinha, M. P. Wellman. Generating Realistic Stock Market Order Streams, in Proceedings of 34rd AAAI Conference on Artificial Intelligence (AAAI), Feb 2020.
    2019
[ALPHABETA] P. Naghizadeh*, A. Sinha*Adversarial Contract Design for Private Data Commercialization, in Proceedings of the 20th ACM Conference on Economics and Computation (EC-19), June 2019. [*=Joint lead authors]
A.Sinha, M. P. Wellman. Incentivizing Collaboration in a Competition, in Proceedings of 18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2019. [Full version with appendix]
T. H. Nguyen, Y. Wang, A. Sinha, M. P. Wellman. Deception in Finitely Repeated Security Games, in Proceedings of 33rd AAAI Conference on Artificial Intelligence (AAAI), Jan 2019.
    2018
A. Sinha, A. Schlenker, D. Dmello, M. Tambe. Scaling-up Stackelberg Security Games Applications using Approximations, in Proceedings of Conference on Decision and Game Theory for Security (GameSec), Oct 2018
L. Nguyen, S. Wang, A. SinhaA Learning and Masking Approach to Secure Learning, in Proceedings of Conference on Decision and Game Theory for Security (GameSec), Oct 2018
A. Sinha, F. Fang, B. An, C. Kiekintveld, M. Tambe. Stackelberg Security Games: Looking Beyond a Decade of Success, in Proceedings of 27th International Joint Conference on Artificial Intelligence (IJCAI), July 2018
S. M. Mc Carthy, C. M. Laan, K. Wang, P. Vayanos, A. Sinha, M. Tambe. The Price of Usability: Designing Operationalizable Strategies for Security Games, in Proceedings of 27th International Joint Conference on Artificial Intelligence (IJCAI), July 2018
N. Papernot, P. McDaniel, A. Sinha, M. Wellman. Towards the Science of Security and Privacy in Machine Learning, in Proceedings of 3rd IEEE European Symposium on Security and Privacy (EuroS&P), April 2018
    2017
A. Schlenker, H. Xu, M. Guirguis, C. Kiekintveld, A. Sinha, M. Tambe, S. Sonya, D. Balderas, N, Dunstatter. Don’t Bury your Head inWarnings: A Game-Theoretic Approach for Intelligent Allocation of Cyber-security Alerts, in Proceedings of 26th International Joint Conference on Artificial Intelligence (IJCAI), Aug 2017
[JO] F. Fang, T. H. Nguyen, A. Sinha, S. Gholami, A. Plumptre, L. Joppa, M. Tambe, M. Driciru, F. Wanyama, A. Rwetsiba, R. Critchlow, C. M. Beale. Predicting Poaching for Wildlife Protection, in IBM Journal of Research and Development, 2017
[BC] S. M. Mc Carthy, A. Sinha, M. Tambe, P. Manadhata. Decision Theory for Network Security: Active Sensing for Detection and Prevention of Data Exfiltration, in Applied Risk Analysis for Guiding Homeland Security Policy and Decisions. John Wiley & Sons Inc, 2017
    2016
[BC] S. M. Mc Carthy, A. Sinha, M.Tambe. Game Theoretic Defense for Maritime Security, in Book on Challenges in Maritime Security (CCICADA Department of Homeland Security), 2016
S. M. Mc Carthy, A. Sinha, M. Tambe, P. Manadhata. Data Exfiltration Detection and Prevention: Virtually Distributed POMDPs for Practically Safer Networks, in Proceedings of Decision and Game Theory for Security (GameSec 2016)
A. Schlenker, M. Brown, A. Sinha, M. Tambe, R. Mehta. Get Me to My GATE On Time: Efficiently Solving General-Sum Bayesian Threat Screening Games, in Proceedings of 22nd European Conference on Artificial Intelligence (ECAI), Aug 2016.
N. Haghtalab, F. Fang, T. Nguyen, A. Sinha, A. D. Procaccia, M. Tambe. Three Strategies to Success: Learning Adversary Models in Security Games, in Proceedings of 25th International Joint Conference on Artificial Intelligence (IJCAI), July 2016.
B. Ford, M. Brown, A. Yadav, A. Singh, A. Sinha, B. Srivastava, C. Kiekintveld, M. Tambe. Protecting the NECTAR of the Ganga River through Game-Theoretic Factory Inspections, in Proceedings of International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS), June 2016
A. Sinha, D. Kar, M. Tambe. Learning Adversary Behavior in Security Games: A PAC Model Perspective, in Proceedings of 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2016. [Appendix]
T. H. Nguyen, A. Sinha, S. Gholami, A. Plumptre, L. Joppa, M. Tambe, M. Driciru, F. Wanyama, A. Rwetsiba, R. Critchlow, C. Beale. CAPTURE: A New Predictive Anti-Poaching Tool for Wildlife Protection, in Proceedings of 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2016.
C. Zhang, V. Bucarey, A. Mukhopadhyay, A. Sinha, Y. Qian, Y. Vorobeychik, M. Tambe. Using abstractions to solve opportunistic crime security games at scale, in Proceedings of 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2016.
[JO] C. Zhang, S. Gholami, D. Kar, A. Sinha, M. Jain, R. Goyal, M. Tambe. Keeping Pace with Criminals: An Extended Study of Designing Patrol Allocation against Adaptive Opportunistic Criminals, in Games Journal, 2016.
M. Brown*, A. Sinha*, A. Schlenker, M. Tambe. One Size Does Not Fit All: A Game-Theoretic Approach for Dynamically and Effectively Screening for Threats, in Proceedings of 30th AAAI Conference on Artificial Intelligence (AAAI), Feb 2016. [Appendix] [*=Joint lead authors]
[BC] T.H. Nguyen, D. Kar, M. Brown, A. Sinha, A. X. Jiang, M. Tambe. Towards a Science of Security Games, in Interdisciplinary Mathematical Research and Applications, edited by B. Toni, Springer, 2016.
[BC] B. An, M. Tambe, A. Sinha. Stackelberg Security Games (SSG) Basics and Application Overview. Improving Homeland Security Decisions, in Improving Homeland Security Decisions, edited by A. Abbas, M. Tambe, D. Von Winterfeldt, Cambridge University Press, 2016. The book publisher made a mistake and did not include my name in the chapter, which should hopefully be corrected soon.
    2015
[JO] A. Sinha, T.H. Nguyen, D. Kar, M. Brown, M. Tambe, A. X. Jiang. From Physical Security to Cyber Security, in Journal of Cybersecurity, 2015.
[ALPHABETA] A. Carbonara, A. Datta, A. Sinha, Y. Zick. Incentivizing Peer Grading in MOOCs: An Audit Game Approach, in Proceedings of International Joint Conference on Artificial Intelligence (IJCAI), July 2015.
H. Xu, A. X. Jiang, A. Sinha, Z. Rabinovich, S. Dughmi, M. Tambe. Security Games with Information Leakage: Modeling and Computation, in Proceedings of International Joint Conference on Artificial Intelligence (IJCAI), July 2015. [Long Version]
[ALPHABETA] A. Datta, D. Garg, D. Kaynar, D. Sharma, A. SinhaProgram Actions as Actual Causes: A Building Block for Accountability, in Proceedings of 28th IEEE Computer Security Foundations Symposium, July 2015. [Long Version]
Y. D. Abbasi, M. Short, A. Sinha, N. Sintov, C. Zhang, M. Tambe. Human Adversaries in Opportunistic Crime Security Games: Evaluating Competing Bounded Rationality Models, in Proceedings of 3rd Conference on Advances in Cognitive Systems, May 2015.
C. Zhang, A. Sinha, M. Tambe. Keeping pace with criminals: Designing patrol allocation against adaptive opportunistic criminals, in Proceedings of 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2015.
[ALPHABETA] J. Blocki, N. Christin, A. Datta, A. D. Procaccia, A. Sinha*Audit Games with Multiple Defender Resources, in Proceedings of 29th AAAI Conference on Artificial Intelligence (AAAI), Jan 2015. [Long version] [*=Lead author]
    2014
A. Sinha, J. Lia, P. England, J. Lorch. Continuous Tamper-proof Logging Using TPM 2.0, in Proceedings of 7th International Conference on Trust & Trustworthy Computing (TRUST), June 2014. [Long Version]
    2013
[ALPHABETA] J. Blocki, N. Christin, A. Datta, A. Sinha. Adaptive Regret Minimization in Bounded-Memory Games, in Proceedings of 4th Conference on Decision and Game Theory for Security (GameSec), November 2013. [Long Version]
[ALPHABETA] J. Blocki, N. Christin, A. Datta, A. D. Procaccia, A. Sinha*Audit Games, in Proceedings of 23rd International Joint Conference on Artificial Intelligence (IJCAI), August 2013. [Long Version] [*=Lead author]
    2012
[ALPHABETA] J. Blocki, N. Christin, A. Datta, A. Sinha*Audit Mechanisms for Provable Risk Management and Accountable Data Governance, in Proceedings of 3rd Conference on Decision and Game Theory for Security (GameSec), November 2012. [*=Lead author]
[ALPHABETA] A. Datta, D. Sharma, A. SinhaProvable De-anonymization of Large Datasets with Sparse Dimensions, in Proceedings of Principles of Security and Trust (POST), 2012.
    2011
A. Datta, J. Blocki, N. Christin, H. DeYoung, D. Garg, L. Jia, D. Kaynar, A. Sinha. Understanding and protecting privacy: Formal semantics and principled audit mechanisms, in Information Systems Security, pp. 1-27. Springer Berlin Heidelberg, 2011.
[ALPHABETA] J. Blocki, N. Christin, A. Datta, A. Sinha*Regret Minimizing Audits: A Learning-Theoretic Basis for Privacy Protection, in Proceedings of 24th IEEE Computer Security Foundations Symposium (CSF), June 2011. [*=Lead author]
    2009
P. Bhallamudi, S. Tilley, A. Sinha, Migrating a Web-Based Application to a Service-Based System - An Experience Report, in proceedings of 11th IEEE International Symposium on Web Systems Evolution Sep 2009.