Arunesh Sinha - RankMe

130 papers A* 34A 16B 1C 1Misc 3Journal 49Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Corrigendum: The Last Mile in Remote Sensing Poverty Prediction. ACM J. Comput. Sustain. Soc. Woojin Jung, Arunesh Sinha, Andrew H. Kim, Vatsal Shah, Yuxiao Lu, Lami Lee, Tawfiq Ammari
2026	J	`jnl`	Erratum: The Last Mile in Remote Sensing Poverty Prediction. ACM J. Comput. Sustain. Soc. Woojin Jung, Arunesh Sinha, Andrew H. Kim, Vatsal Shah, Yuxiao Lu, Lami Lee, Tawfiq Ammari
2026	J	`jnl`	Induced Numerical Instability: Hidden Costs in Multimodal Large Language Models. CoRR Wai Tuck Wong, Jun Sun, Arunesh Sinha
2025	J	`jnl`	Automatic LLM Red Teaming. CoRR Roman Belaire, Arunesh Sinha, Pradeep Varakantham
2025	A*	`conf`	Bootstrapping Language Models with DPO Implicit Rewards. ICLR Changyu Chen, Zichen Liu, Chao Du, Tianyu Pang, Qian Liu, Arunesh Sinha, Pradeep Varakantham, Min Lin
2025	—	`ed.`	Decision and Game Theory for Security - 15th International Conference, GameSec 2024, New York City, NY, USA, October 16-18, 2024, Proceedings GameSec Arunesh Sinha, Jie Fu, Quanyan Zhu, Tao Zhang
2025	B	`conf`	Heterogeneous Graph Generation: A Hierarchical Approach using Node Feature Pooling. IJCNN Hritaban Ghosh, Changyu Chen, Arunesh Sinha, Shamik Sural
2025	A	`conf`	On Learning Informative Trajectory Embeddings for Imitation, Classification and Regression. AAMAS Zichang Ge, Changyu Chen, Arunesh Sinha, Pradeep Varakantham
2025	J	`jnl`	On Learning Informative Trajectory Embeddings for Imitation, Classification and Regression. CoRR Zichang Ge, Changyu Chen, Arunesh Sinha, Pradeep Varakantham
2025	A*	`conf`	On Minimizing Adversarial Counterfactual Error in Adversarial Reinforcement Learning. ICLR Roman Belaire, Arunesh Sinha, Pradeep Varakantham
2025	A*	`conf`	Semantic Loss Guided Data Efficient Supervised Fine Tuning for Safe Responses in LLMs. ICLR Yuxiao Lu, Arunesh Sinha, Pradeep Varakantham
2025	—	`conf`	Strategic Incentivization for Locally Differentially Private Federated Learning. CIC Yashwant Krishna Pagoti, Arunesh Sinha, Shamik Sural
2025	J	`jnl`	Strategic Incentivization for Locally Differentially Private Federated Learning. CoRR Yashwant Krishna Pagoti, Arunesh Sinha, Shamik Sural
2025	J	`jnl`	Temporal Robustness in Discrete Time Linear Dynamical Systems. CoRR Nilava Metya, Arunesh Sinha
2025	J	`jnl`	The Last Mile in Remote Sensing Poverty Prediction. ACM J. Comput. Sustain. Soc. Woojin Jung, Arunesh Sinha, Andrew Kim, Vatsal Shah, Yuxiao Lu, Lami Lee, Tawfiq Ammari
2024	—	`ed.`	Autonomous Agents and Multiagent Systems. Best and Visionary Papers - AAMAS 2023 Workshops, London, UK, May 29 - June 2, 2023, Revised Selected Papers AAMAS Workshops Francesco Amigoni, Arunesh Sinha
2024	A*	`conf`	Baffle: Hiding Backdoors in Offline Reinforcement Learning Datasets. SP Chen Gong, Zhou Yang, Yunpeng Bai, Junda He, Jieke Shi, Kecen Li, Arunesh Sinha, Bowen Xu, Xinwen Hou, David Lo, Tianhao Wang
2024	J	`jnl`	Bootstrapping Language Models with DPO Implicit Rewards. CoRR Changyu Chen, Zichen Liu, Chao Du, Tianyu Pang, Qian Liu, Arunesh Sinha, Pradeep Varakantham, Min Lin
2024	A*	`conf`	Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning. AAAI Yuxiao Lu, Arunesh Sinha, Pradeep Varakantham
2024	J	`jnl`	Heterogeneous Graph Generation: A Hierarchical Approach using Node Feature Pooling. CoRR Hritaban Ghosh, Changyu Chen, Arunesh Sinha, Shamik Sural
2024	J	`jnl`	Probabilistic Perspectives on Error Minimization in Adversarial Reinforcement Learning. CoRR Roman Belaire, Arunesh Sinha, Pradeep Varakantham
2024	J	`jnl`	Semantic Loss Guided Data Efficient Supervised Fine Tuning for Safe Responses in LLMs. CoRR Yuxiao Lu, Arunesh Sinha, Pradeep Varakantham
2024	A*	`conf`	Tackling Stackelberg Network Interdiction against a Boundedly Rational Adversary. IJCAI Tien Mai, Avinandan Bose, Arunesh Sinha, Thanh Hong Nguyen, Ayushman Kumar singh
2024	J	`jnl`	Towards Neural Network based Cognitive Models of Dynamic Decision-Making by Humans. CoRR Changyu Chen, Shashank Reddy Chirra, Maria José Ferreira, Cleotilde Gonzalez, Arunesh Sinha, Pradeep Varakantham
2024	J	`jnl`	Tracking people across ultra populated indoor spaces by matching unreliable Wi-Fi signals with disconnected video feeds. Pervasive Mob. Comput. Hai Truong, Dheryta Jaisinghani, Shubham Jain, Arunesh Sinha, JeongGil Ko, Rajesh Balan
2023	A*	`conf`	A Fair Incentive Scheme for Community Health Workers. AAAI Avinandan Bose, Tracey Li, Arunesh Sinha, Tien Mai
2023	A*	`conf`	Behavioral Learning in Security Games: Threat of Multi-Step Manipulative Attacks. AAAI Thanh Hong Nguyen, Arunesh Sinha
2023	A*	`conf`	Beyond NaN: Resiliency of Optimization Layers in the Face of Infeasibility. AAAI Wai Tuck Wong, Sarah Eve Kinsey, Ramesha Karunasena, Thanh Hong Nguyen, Arunesh Sinha
2023	A*	`conf`	Building a Personalized Messaging System for Health Intervention in Underprivileged Regions Using Reinforcement Learning. IJCAI Sarah Eve Kinsey, Jack Wolf, Nalini Saligram, Varun Ramesan, Meeta Walavalkar, Nidhi Jaswal, Sandhya Ramalingam, Arunesh Sinha, Thanh Hong Nguyen
2023	—	`conf`	Characterizing and Improving the Robustness of Predict-Then-Optimize Frameworks. GameSec Sonja Johnson-Yu, Jessie Finocchiaro, Kai Wang, Yevgeniy Vorobeychik, Arunesh Sinha, Aparna Taneja, Milind Tambe
2023	J	`jnl`	Conditioning Hierarchical Reinforcement Learning on Flexible Constraints. CoRR Yuxiao Lu, Pradeep Varakantham, Arunesh Sinha
2023	A*	`conf`	Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning. NeurIPS Changyu Chen, Ramesha Karunasena, Thanh Hong Nguyen, Arunesh Sinha, Pradeep Varakantham
2023	J	`jnl`	Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning. CoRR Changyu Chen, Ramesha Karunasena, Thanh Hong Nguyen, Arunesh Sinha, Pradeep Varakantham
2023	A*	`conf`	Securing Lifelines: Safe Delivery of Critical Services in Areas with Volatile Security Situation via a Stackelberg Game Approach. AAAI Tien Mai, Arunesh Sinha
2023	J	`jnl`	Tackling Stackelberg Network Interdiction against a Boundedly Rational Adversary. CoRR Tien Mai, Avinandan Bose, Arunesh Sinha, Thanh Hong Nguyen
2022	Misc	`conf`	AI and Security: A Game Perspective. COMSNETS Arunesh Sinha
2022	—	`conf`	An Exploration of Poisoning Attacks on Data-Based Decision Making. GameSec Sarah Eve Kinsey, Wong Wai Tuck, Arunesh Sinha, Thanh Hong Nguyen
2022	J	`jnl`	Artificial Intelligence for Cyber Security (AICS). CoRR James Holt, Edward Raff, Ahmad Ridley, Dennis Ross, Arunesh Sinha, Diane Staheli, William Streilen, Milind Tambe, Yevgeniy Vorobeychik, Allan B. Wollaber
2022	J	`jnl`	Beyond NaN: Resiliency of Optimization Layers in The Face of Infeasibility. CoRR Wai Tuck Wong, Andrew Butler, Ramesha Karunasena, Thanh Hong Nguyen, Arunesh Sinha
2022	A*	`conf`	Choices Are Not Independent: Stackelberg Security Games with Nested Quantal Response Models. AAAI Tien Mai, Arunesh Sinha
2022	A	`conf`	Curiosity-Driven and Victim-Aware Adversarial Policies. ACSAC Chen Gong, Zhou Yang, Yunpeng Bai, Jieke Shi, Arunesh Sinha, Bowen Xu, David Lo, Xinwen Hou, Guoliang Fan
2022	J	`jnl`	Mind Your Data! Hiding Backdoors in Offline Reinforcement Learning Datasets. CoRR Chen Gong, Zhou Yang, Yunpeng Bai, Junda He, Jieke Shi, Arunesh Sinha, Bowen Xu, Xinwen Hou, Guoliang Fan, David Lo
2022	A*	`conf`	Multiscale Generative Models: Improving Performance of a Generative Model Using Feedback from Other Dependent Generative Models. AAAI Changyu Chen, Avinandan Bose, Shih-Fen Cheng, Arunesh Sinha
2022	J	`jnl`	Multiscale Generative Models: Improving Performance of a Generative Model Using Feedback from Other Dependent Generative Models. CoRR Changyu Chen, Avinandan Bose, Shih-Fen Cheng, Arunesh Sinha
2022	J	`jnl`	Safe Delivery of Critical Services in Areas with Volatile Security Situation via a Stackelberg Game Approach. CoRR Tien Mai, Arunesh Sinha
2022	J	`jnl`	Scalable Distributional Robustness in a Class of Non Convex Optimization with Guarantees. CoRR Avinandan Bose, Arunesh Sinha, Tien Mai
2022	A*	`conf`	Scalable Distributional Robustness in a Class of Non-Convex Optimization with Guarantees. NeurIPS Avinandan Bose, Arunesh Sinha, Tien Mai
2022	J	`jnl`	The Art of Manipulation: Threat of Multi-Step Manipulative Attacks in Security Games. CoRR Thanh Hong Nguyen, Arunesh Sinha
2022	A	`conf`	Trajectory Optimization for Safe Navigation in Maritime Traffic Using Historical Data. CP Chaithanya Basrur, Arambam James Singh, Arunesh Sinha, Akshat Kumar, T. K. Satish Kumar
2021	C	`conf`	Building Action Sets in a Deep Reinforcement Learner. ICMLA Yongzhao Wang, Arunesh Sinha, Sky CH-Wang, Michael P. Wellman
2021	—	`conf`	Countering Attacker Data Manipulation in Security Games. GameSec Andrew R. Butler, Thanh Hong Nguyen, Arunesh Sinha
2021	—	`ed.`	Decision and Game Theory for Security - 12th International Conference, GameSec 2021, Virtual Event, October 25-27, 2021, Proceedings GameSec Branislav Bosanský, Cleotilde Gonzalez, Stefan Rass, Arunesh Sinha
2021	—	`conf`	Measuring Data Collection Diligence for Community Healthcare. EAAMO Ramesha Karunasena, Mohammad Sarparajul Ambiya, Arunesh Sinha, Ruchit Nagar, Saachi Dalal, Hamid Abdullah, Divy Thakkar, Dhyanesh Narayanan, Milind Tambe
2021	A	`conf`	Ship-GAN: Generative Modeling Based Maritime Traffic Simulator. AAMAS Chaithanya Basrur, Arambam James Singh, Arunesh Sinha, Akshat Kumar
2020	J	`jnl`	AI for Social Impact: Learning and Planning in the Data-to-Deployment Pipeline. CoRR Andrew Perrault, Fei Fang, Arunesh Sinha, Milind Tambe
2020	J	`jnl`	Artificial Intelligence for Social Impact: Learning and Planning in the Data-to-Deployment Pipeline. AI Mag. Andrew Perrault, Fei Fang, Arunesh Sinha, Milind Tambe
2020	A*	`conf`	Bounding Regret in Empirical Games. AAAI Steven Jecmen, Arunesh Sinha, Zun Li, Long Tran-Thanh
2020	A*	`conf`	Generating Realistic Stock Market Order Streams. AAAI Junyi Li, Xintong Wang, Yaoyang Lin, Arunesh Sinha, Michael P. Wellman
2020	J	`jnl`	Generating Realistic Stock Market Order Streams. CoRR Junyi Li, Xintong Wang, Yaoyang Lin, Arunesh Sinha, Michael P. Wellman
2020	J	`jnl`	Measuring Data Collection Quality for Community Healthcare. CoRR Ramesha Karunasena, Mohammad Sarparajul Ambiya, Arunesh Sinha, Ruchit Nagar, Saachi Dalal, Divy Thakkar, Milind Tambe
2020	A*	`conf`	Partial Adversarial Behavior Deception in Security Games. IJCAI Thanh Hong Nguyen, Arunesh Sinha, He He
2020	J	`jnl`	Proceedings of the Artificial Intelligence for Cyber Security (AICS) Workshop 2020. CoRR Dennis Ross, Arunesh Sinha, Diane Staheli, Bill Streilein
2020	A*	`conf`	Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning. AAAI Sanket Shah, Arunesh Sinha, Pradeep Varakantham, Andrew Perrault, Milind Tambe
2020	J	`jnl`	Two Can Play That Game: An Adversarial Evaluation of a Cyber-Alert Inspection System. ACM Trans. Intell. Syst. Technol. Ankit Shah, Arunesh Sinha, Rajesh Ganesan, Sushil Jajodia, Hasan Cam
2020	A	`conf`	Who and When to Screen: Multi-Round Active Screening for Network Recurrent Infectious Diseases Under Uncertainty. AAMAS Han-Ching Ou, Arunesh Sinha, Sze-Chuan Suen, Andrew Perrault, Alpan Raval, Milind Tambe
2019	A*	`conf`	Adversarial Contract Design for Private Data Commercialization. EC Parinaz Naghizadeh, Arunesh Sinha
2019	A*	`conf`	Deception in Finitely Repeated Security Games. AAAI Thanh Hong Nguyen, Yongzhao Wang, Arunesh Sinha, Michael P. Wellman
2019	A	`conf`	Incentivizing Collaboration in a Competition. AAMAS Arunesh Sinha, Michael P. Wellman
2019	J	`jnl`	Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning. CoRR Sanket Shah, Arunesh Sinha, Pradeep Varakantham, Andrew Perrault, Milind Tambe
2019	J	`jnl`	Who and When to Screen: Multi-Round Active Screening for Recurrent Infectious Diseases Under Uncertainty. CoRR Han-Ching Ou, Arunesh Sinha, Sze-Chuan Suen, Andrew Perrault, Milind Tambe
2018	—	`conf`	A Learning and Masking Approach to Secure Learning. GameSec Linh Nguyen, Sky Wang, Arunesh Sinha
2018	J	`jnl`	Adversarial Contract Design for Private Data Commercialization. CoRR Parinaz Naghizadeh, Arunesh Sinha
2018	—	`conf`	Deceitful Attacks in Security Games. AAAI Workshops Thanh Hong Nguyen, Michael P. Wellman, Arunesh Sinha
2018	J	`jnl`	Reports of the Workshops of the 32nd AAAI Conference on Artificial Intelligence. AI Mag. Bruno Bouchard, Kevin Bouchard, Noam Brown, Niyati Chhaya, Eitan Farchi, Sébastien Gaboury, Christopher W. Geib, Amelie Gyrard, Kokil Jaidka, Sarah Keren, Roni Khardon, Parisa Kordjamshidi, David R. Martinez, Nicholas Mattei, Martin Michalowski, Reuth Mirsky, Joseph C. Osborn, Cem Sahin, Onn Shehory, Arash Shaban-Nejad, Amit P. Sheth, Ilan Shimshoni, Howard E. Shrobe, Arunesh Sinha, Atanu R. Sinha, Biplav Srivastava, William W. Streilein, Georgios Theocharous, K. Brent Venable, Neal Wagner, Anna Zamansky
2018	—	`conf`	Scaling-Up Stackelberg Security Games Applications Using Approximations. GameSec Arunesh Sinha, Aaron Schlenker, Donnabell Dmello, Milind Tambe
2018	A	`conf`	SoK: Security and Privacy in Machine Learning. EuroS&P Nicolas Papernot, Patrick D. McDaniel, Arunesh Sinha, Michael P. Wellman
2018	A*	`conf`	Stackelberg Security Games: Looking Beyond a Decade of Success. IJCAI Arunesh Sinha, Fei Fang, Bo An, Christopher Kiekintveld, Milind Tambe
2018	A*	`conf`	The Price of Usability: Designing Operationalizable Strategies for Security Games. IJCAI Sara Marie McCarthy, Corine M. Laan, Kai Wang, Phebe Vayanos, Arunesh Sinha, Milind Tambe
2018	J	`jnl`	Two Can Play That Game: An Adversarial Evaluation of a Cyber-alert Inspection System. CoRR Ankit Shah, Arunesh Sinha, Rajesh Ganesan, Sushil Jajodia, Hasan Cam
2017	A*	`conf`	10th International Workshop on Artificial Intelligence and Security (AISec 2017). CCS Battista Biggio, David Freeman, Brad Miller, Arunesh Sinha
2017	J	`jnl`	A Learning Approach to Secure Learning. CoRR Linh Nguyen, Arunesh Sinha
2017	A*	`conf`	Don't Bury your Head in Warnings: A Game-Theoretic Approach for Intelligent Allocation of Cyber-security Alerts. IJCAI Aaron Schlenker, Haifeng Xu, Mina Guirguis, Christopher Kiekintveld, Arunesh Sinha, Milind Tambe, Solomon Y. Sonya, Darryl Balderas, Noah Dunstatter
2017	J	`jnl`	Practical Scalability for Stackelberg Security Games. CoRR Arunesh Sinha, Aaron Schlenker, Donnabell Dmello, Milind Tambe
2017	J	`jnl`	Predicting poaching for wildlife Protection. IBM J. Res. Dev. 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
2017	—	`ed.`	Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security, AISec@CCS 2017, Dallas, TX, USA, November 3, 2017 AISec@CCS Bhavani Thuraisingham, Battista Biggio, David Mandell Freeman, Brad Miller, Arunesh Sinha
2017	J	`jnl`	Reports of the Workshops of the Thirty-First AAAI Conference on Artificial Intelligence. AI Mag. Monica Anderson, Roman Barták, John S. Brownstein, David L. Buckeridge, Hoda Eldardiry, Christopher W. Geib, Maria L. Gini, Aaron Isaksen, Sarah Keren, Robert Laddaga, Viliam Lisý, Rodney Martin, David R. Martinez, Martin Michalowski, Loizos Michael, Reuth Mirsky, Thanh Hai Nguyen, Michael J. Paul, Enrico Pontelli, Scott Sanner, Arash Shaban-Nejad, Arunesh Sinha, Shirin Sohrabi, Kumar Sricharan, Biplav Srivastava, Mark Stefik, William W. Streilein, Nathan R. Sturtevant, Kartik Talamadupula, Michael Thielscher, Julian Togelius, Tran Cao Son, Long Tran-Thanh, Neal Wagner, Byron C. Wallace, Szymon Wilk, Jichen Zhu
2016	A*	`conf`	9th International Workshop on Artificial Intelligence and Security: AISec 2016. CCS David Mandell Freeman, Katerina Mitrokotsa, Arunesh Sinha
2016	—	`conf`	Addressing Behavioral Uncertainty in Security Games: An Efficient Robust Strategic Solution for Defender Patrols. IPDPS Workshops Thanh Hong Nguyen, Arunesh Sinha, Milind Tambe
2016	—	`ed.`	Artificial Intelligence for Cyber Security, Papers from the 2016 AAAI Workshop, Phoenix, Arizona, USA, February 12, 2016. AAAI Workshop: Artificial Intelligence for Cyber Security David R. Martinez, William W. Streilein, Kevin M. Carter, Arunesh Sinha
2016	A	`conf`	CAPTURE: A New Predictive Anti-Poaching Tool for Wildlife Protection. AAMAS 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	A*	`conf`	Conquering Adversary Behavioral Uncertainty in Security Games: An Efficient Modeling Robust Based Algorithm. AAAI Thanh Hong Nguyen, Arunesh Sinha, Milind Tambe
2016	—	`conf`	Data Exfiltration Detection and Prevention: Virtually Distributed POMDPs for Practically Safer Networks. GameSec Sara Marie McCarthy, Arunesh Sinha, Milind Tambe, Pratyusa Manadhata
2016	A	`conf`	Get Me to My GATE on Time: Efficiently Solving General-Sum Bayesian Threat Screening Games. ECAI Aaron Schlenker, Matthew Brown, Arunesh Sinha, Milind Tambe, Ruta Mehta
2016	J	`jnl`	Keeping Pace with Criminals: An Extended Study of Designing Patrol Allocation against Adaptive Opportunistic Criminals. Games Chao Zhang, Shahrzad Gholami, Debarun Kar, Arunesh Sinha, Manish Jain, Ripple Goyal, Milind Tambe
2016	A	`conf`	Learning Adversary Behavior in Security Games: A PAC Model Perspective. AAMAS Arunesh Sinha, Debarun Kar, Milind Tambe
2016	A*	`conf`	One Size Does Not Fit All: A Game-Theoretic Approach for Dynamically and Effectively Screening for Threats. AAAI Matthew Brown, Arunesh Sinha, Aaron Schlenker, Milind Tambe
2016	—	`ed.`	Proceedings of the 2016 ACM Workshop on Artificial Intelligence and Security, AISec@CCS 2016, Vienna, Austria, October 28, 2016 AISec@CCS David Mandell Freeman, Aikaterini Mitrokotsa, Arunesh Sinha
2016	—	`conf`	Protecting Wildlife under Imperfect Observation. AAAI Workshop: Computer Poker and Imperfect Information Games 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	Misc	`conf`	Protecting the NECTAR of the Ganga River Through Game-Theoretic Factory Inspections. PAAMS Benjamin J. Ford, Matthew Brown, Amulya Yadav, Amandeep Singh, Arunesh Sinha, Biplav Srivastava, Christopher Kiekintveld, Milind Tambe
2016	J	`jnl`	Reports of the 2016 AAAI Workshop Program. AI Mag. Stefano V. Albrecht, Bruno Bouchard, John S. Brownstein, David L. Buckeridge, Cornelia Caragea, Kevin M. Carter, Adnan Darwiche, Blaz Fortuna, Yannick Francillette, Sébastien Gaboury, C. Lee Giles, Marko Grobelnik, Estevam R. Hruschka Jr., Jeffrey O. Kephart, Parisa Kordjamshidi, Viliam Lisý, Daniele Magazzeni, João Marques-Silva, Pierre Marquis, David R. Martinez, Marek P. Michalowski, Arash Shaban-Nejad, Zeinab Noorian, Enrico Pontelli, Alex Rogers, Stephanie Rosenthal, Dan Roth, Arunesh Sinha, William W. Streilein, Sylvie Thiébaux, Tran Cao Son, Byron C. Wallace, Toby Walsh, Michael Witbrock, Jie Zhang
2016	A	`conf`	SPECTRE: A Game Theoretic Framework for Preventing Collusion in Security Games (Demonstration). AAMAS Shahrzad Gholami, Bryan Wilder, Matthew Brown, Arunesh Sinha, Nicole D. Sintov, Milind Tambe
2016	A*	`conf`	Three Strategies to Success: Learning Adversary Models in Security Games. IJCAI Nika Haghtalab, Fei Fang, Thanh Hong Nguyen, Arunesh Sinha, Ariel D. Procaccia, Milind Tambe
2016	J	`jnl`	Towards the Science of Security and Privacy in Machine Learning. CoRR Nicolas Papernot, Patrick D. McDaniel, Arunesh Sinha, Michael P. Wellman
2016	A	`conf`	Using Abstractions to Solve Opportunistic Crime Security Games at Scale. AAMAS Chao Zhang, Victor Bucarey, Ayan Mukhopadhyay, Arunesh Sinha, Yundi Qian, Yevgeniy Vorobeychik, Milind Tambe
2015	A*	`conf`	Audit Games with Multiple Defender Resources. AAAI Jeremiah Blocki, Nicolas Christin, Anupam Datta, Ariel D. Procaccia, Arunesh Sinha
2015	J	`jnl`	From physical security to cybersecurity. J. Cybersecur. Arunesh Sinha, Thanh Hong Nguyen, Debarun Kar, Matthew Brown, Milind Tambe, Albert Xin Jiang
2015	A*	`conf`	Incentivizing Peer Grading in MOOCS: An Audit Game Approach. IJCAI Alejandro Uriel Carbonara, Anupam Datta, Arunesh Sinha, Yair Zick
2015	A	`conf`	Keeping Pace with Criminals: Designing Patrol Allocation Against Adaptive Opportunistic Criminals. AAMAS Chao Zhang, Arunesh Sinha, Milind Tambe
2015	J	`jnl`	Learning Adversary Behavior in Security Games: A PAC Model Perspective. CoRR Arunesh Sinha, Debarun Kar, Milind Tambe
2015	A	`conf`	Learning, Predicting and Planning against Crime: Demonstration Based on Real Urban Crime Data (Demonstration). AAMAS Chao Zhang, Manish Jain, Ripple Goyal, Arunesh Sinha, Milind Tambe
2015	—	`ed.`	Proceedings of the 8th ACM Workshop on Artificial Intelligence and Security, AISec 2015, Denver, Colorado, USA, October 16, 2015 AISec@CCS Indrajit Ray, Xiaofeng Wang, Kui Ren, Christos Dimitrakakis, Aikaterini Mitrokotsa, Arunesh Sinha
2015	A	`conf`	Program Actions as Actual Causes: A Building Block for Accountability. CSF Anupam Datta, Deepak Garg, Dilsun Kirli Kaynar, Divya Sharma, Arunesh Sinha
2015	J	`jnl`	Program Actions as Actual Causes: A Building Block for Accountability. CoRR Anupam Datta, Deepak Garg, Dilsun Kirli Kaynar, Divya Sharma, Arunesh Sinha
2015	J	`jnl`	Security Games With Information Leakage: Modeling and Computation. CoRR Haifeng Xu, Albert Xin Jiang, Arunesh Sinha, Zinovi Rabinovich, Shaddin Dughmi, Milind Tambe
2015	A*	`conf`	Security Games with Information Leakage: Modeling and Computation. IJCAI Haifeng Xu, Albert Xin Jiang, Arunesh Sinha, Zinovi Rabinovich, Shaddin Dughmi, Milind Tambe
2015	A*	`conf`	Workshop Summary of AISec'15: 2015 Workshop on Artificial Intelligent and Security. CCS Christos Dimitrakakis, Aikaterini Mitrokotsa, Arunesh Sinha
2014	J	`jnl`	Audit Games with Multiple Defender Resources. CoRR Jeremiah Blocki, Nicolas Christin, Anupam Datta, Ariel D. Procaccia, Arunesh Sinha
2014	—	`—`	Audit Games. Arunesh Sinha
2014	—	`conf`	Continuous Tamper-Proof Logging Using TPM 2.0. TRUST Arunesh Sinha, Limin Jia, Paul England, Jacob R. Lorch
2013	—	`conf`	Adaptive Regret Minimization in Bounded-Memory Games. GameSec Jeremiah Blocki, Nicolas Christin, Anupam Datta, Arunesh Sinha
2013	J	`jnl`	Audit Games CoRR Jeremiah Blocki, Nicolas Christin, Anupam Datta, Ariel D. Procaccia, Arunesh Sinha
2013	A*	`conf`	Audit Games. IJCAI Jeremiah Blocki, Nicolas Christin, Anupam Datta, Ariel D. Procaccia, Arunesh Sinha
2013	—	`conf`	What you want is not what you get: predicting sharing policies for text-based content on facebook. AISec Arunesh Sinha, Yan Li, Lujo Bauer
2012	—	`conf`	Audit Mechanisms for Provable Risk Management and Accountable Data Governance. GameSec Jeremiah Blocki, Nicolas Christin, Anupam Datta, Arunesh Sinha
2012	—	`conf`	Provable De-anonymization of Large Datasets with Sparse Dimensions. POST Anupam Datta, Divya Sharma, Arunesh Sinha
2011	J	`jnl`	Adaptive Regret Minimization in Bounded-Memory Games CoRR Jeremiah Blocki, Nicolas Christin, Anupam Datta, Arunesh Sinha
2011	—	`conf`	Audit Mechanisms for Privacy Protection in Healthcare Environments. HealthSec Jeremiah Blocki, Nicolas Christin, Anupam Datta, Arunesh Sinha
2011	A	`conf`	Regret Minimizing Audits: A Learning-Theoretic Basis for Privacy Protection. CSF Jeremiah Blocki, Nicolas Christin, Anupam Datta, Arunesh Sinha
2011	Misc	`conf`	Understanding and Protecting Privacy: Formal Semantics and Principled Audit Mechanisms. ICISS Anupam Datta, Jeremiah Blocki, Nicolas Christin, Henry DeYoung, Deepak Garg, Limin Jia, Dilsun Kirli Kaynar, Arunesh Sinha
2009	—	`conf`	Migrating a Web-based application to a service-based system - an experience report. WSE Pushparani Bhallamudi, Scott R. Tilley, Arunesh Sinha