Arunesh Sinha

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 79

Top Venues

Publications

Changyu Chen, Zichen Liu, Chao Du, Tianyu Pang, Qian Liu, Arunesh Sinha, Pradeep Varakantham, Min Lin
Bootstrapping Language Models with DPO Implicit Rewards. CoRR (2024)
Roman Belaire, Arunesh Sinha, Pradeep Varakantham
Probabilistic Perspectives on Error Minimization in Adversarial Reinforcement Learning. CoRR (2024)
Yuxiao Lu, Arunesh Sinha, Pradeep Varakantham
Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning. AAAI (2024)
Hai Truong, Dheryta Jaisinghani, Shubham Jain, Arunesh Sinha, JeongGil Ko, Rajesh Balan
Tracking people across ultra populated indoor spaces by matching unreliable Wi-Fi signals with disconnected video feeds. Pervasive Mob. Comput. 97 (2024)
Changyu Chen, Shashank Reddy Chirra, Maria José Ferreira, Cleotilde Gonzalez, Arunesh Sinha, Pradeep Varakantham
Towards Neural Network based Cognitive Models of Dynamic Decision-Making by Humans. CoRR (2024)
Avinandan Bose, Tracey Li, Arunesh Sinha, Tien Mai
A Fair Incentive Scheme for Community Health Workers. AAAI (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)
Yuxiao Lu, Pradeep Varakantham, Arunesh Sinha
Conditioning Hierarchical Reinforcement Learning on Flexible Constraints. 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)
Tien Mai, Arunesh Sinha
Securing Lifelines: Safe Delivery of Critical Services in Areas with Volatile Security Situation via a Stackelberg Game Approach. AAAI (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)
Tien Mai, Avinandan Bose, Arunesh Sinha, Thanh H. Nguyen
Tackling Stackelberg Network Interdiction against a Boundedly Rational Adversary. CoRR (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)
Tien Mai, Arunesh Sinha
Choices Are Not Independent: Stackelberg Security Games with Nested Quantal Response Models. AAAI (2022)
Changyu Chen, Avinandan Bose, Shih-Fen Cheng, Arunesh Sinha
Multiscale Generative Models: Improving Performance of a Generative Model Using Feedback from Other Dependent Generative Models. AAAI (2022)
Wai Tuck Wong, Andrew Butler, Ramesha Karunasena, Thanh H. Nguyen, Arunesh Sinha
Beyond NaN: Resiliency of Optimization Layers in The Face of Infeasibility. CoRR (2022)
Changyu Chen, Avinandan Bose, Shih-Fen Cheng, Arunesh Sinha
Multiscale Generative Models: Improving Performance of a Generative Model Using Feedback from Other Dependent Generative Models. CoRR (2022)
Chen Gong, Zhou Yang, Yunpeng Bai, Jieke Shi, Arunesh Sinha, Bowen Xu, David Lo, Xinwen Hou, Guoliang Fan
Curiosity-Driven and Victim-Aware Adversarial Policies. ACSAC (2022)
Tien Mai, Arunesh Sinha
Safe Delivery of Critical Services in Areas with Volatile Security Situation via a Stackelberg Game Approach. CoRR (2022)
James Holt, Edward Raff, Ahmad Ridley, Dennis Ross, Arunesh Sinha, Diane Staheli, William Streilen, Milind Tambe, Yevgeniy Vorobeychik, Allan B. Wollaber
Artificial Intelligence for Cyber Security (AICS). CoRR (2022)
Chen Gong, Zhou Yang, Yunpeng Bai, Junda He, Jieke Shi, Arunesh Sinha, Bowen Xu, Xinwen Hou, Guoliang Fan, David Lo
Mind Your Data! Hiding Backdoors in Offline Reinforcement Learning Datasets. CoRR (2022)
Chaithanya Basrur, Arambam James Singh, Arunesh Sinha, Akshat Kumar, T. K. Satish Kumar
Trajectory Optimization for Safe Navigation in Maritime Traffic Using Historical Data. CP (2022)
Avinandan Bose, Arunesh Sinha, Tien Mai
Scalable Distributional Robustness in a Class of Non-Convex Optimization with Guarantees. NeurIPS (2022)
Sarah Eve Kinsey, Wong Wai Tuck, Arunesh Sinha, Thanh Hong Nguyen
An Exploration of Poisoning Attacks on Data-Based Decision Making. GameSec (2022)
Arunesh Sinha
AI and Security: A Game Perspective. COMSNETS (2022)
Thanh H. Nguyen, Arunesh Sinha
The Art of Manipulation: Threat of Multi-Step Manipulative Attacks in Security Games. CoRR (2022)
Avinandan Bose, Arunesh Sinha, Tien Mai
Scalable Distributional Robustness in a Class of Non Convex Optimization with Guarantees. CoRR (2022)
Ramesha Karunasena, Mohammad Sarparajul Ambiya, Arunesh Sinha, Ruchit Nagar, Saachi Dalal, Hamid Abdullah, Divy Thakkar, Dhyanesh Narayanan, Milind Tambe
Measuring Data Collection Diligence for Community Healthcare. EAAMO (2021)
Andrew R. Butler, Thanh H. Nguyen, Arunesh Sinha
Countering Attacker Data Manipulation in Security Games. GameSec (2021)
Chaithanya Basrur, Arambam James Singh, Arunesh Sinha, Akshat Kumar
Ship-GAN: Generative Modeling Based Maritime Traffic Simulator. AAMAS (2021)
Yongzhao Wang, Arunesh Sinha, Sky Ch-Wang, Michael P. Wellman
Building Action Sets in a Deep Reinforcement Learner. ICMLA (2021)
Junyi Li, Xintong Wang, Yaoyang Lin, Arunesh Sinha, Michael P. Wellman
Generating Realistic Stock Market Order Streams. CoRR (2020)
Andrew Perrault, Fei Fang, Arunesh Sinha, Milind Tambe
Artificial Intelligence for Social Impact: Learning and Planning in the Data-to-Deployment Pipeline. AI Mag. 41 (4) (2020)
Ankit Shah, Arunesh Sinha, Rajesh Ganesan, Sushil Jajodia, Hasan Cam
Two Can Play That Game: An Adversarial Evaluation of a Cyber-Alert Inspection System. ACM Trans. Intell. Syst. Technol. 11 (3) (2020)
Sanket Shah, Arunesh Sinha, Pradeep Varakantham, Andrew Perrault, Milind Tambe
Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning. AAAI (2020)
Thanh Hong Nguyen, Arunesh Sinha, He He
Partial Adversarial Behavior Deception in Security Games. IJCAI (2020)
Han-Ching Ou, Arunesh Sinha, Sze-Chuan Suen, Andrew Perrault, Alpan Raval, Milind Tambe
Who and When to Screen: Multi-Round Active Screening for Network Recurrent Infectious Diseases Under Uncertainty. AAMAS (2020)
Andrew Perrault, Fei Fang, Arunesh Sinha, Milind Tambe
AI for Social Impact: Learning and Planning in the Data-to-Deployment Pipeline. CoRR (2020)
Junyi Li, Xintong Wang, Yaoyang Lin, Arunesh Sinha, Michael P. Wellman
Generating Realistic Stock Market Order Streams. AAAI (2020)
Dennis Ross, Arunesh Sinha, Diane Staheli, Bill Streilein
Proceedings of the Artificial Intelligence for Cyber Security (AICS) Workshop 2020. CoRR (2020)
Ramesha Karunasena, Mohammad Sarparajul Ambiya, Arunesh Sinha, Ruchit Nagar, Saachi Dalal, Divy Thakkar, Milind Tambe
Measuring Data Collection Quality for Community Healthcare. CoRR (2020)
Steven Jecmen, Arunesh Sinha, Zun Li, Long Tran-Thanh
Bounding Regret in Empirical Games. AAAI (2020)
Sanket Shah, Arunesh Sinha, Pradeep Varakantham, Andrew Perrault, Milind Tambe
Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning. CoRR (2019)
Thanh Hong Nguyen, Yongzhao Wang, Arunesh Sinha, Michael P. Wellman
Deception in Finitely Repeated Security Games. AAAI (2019)
Han-Ching Ou, Arunesh Sinha, Sze-Chuan Suen, Andrew Perrault, Milind Tambe
Who and When to Screen: Multi-Round Active Screening for Recurrent Infectious Diseases Under Uncertainty. CoRR (2019)
Arunesh Sinha, Michael P. Wellman
Incentivizing Collaboration in a Competition. AAMAS (2019)
Parinaz Naghizadeh, Arunesh Sinha
Adversarial Contract Design for Private Data Commercialization. EC (2019)
Thanh Hong Nguyen, Michael P. Wellman, Arunesh Sinha
Deceitful Attacks in Security Games. AAAI Workshops (2018)
Sara Marie McCarthy, Corine M. Laan, Kai Wang, Phebe Vayanos, Arunesh Sinha, Milind Tambe
The Price of Usability: Designing Operationalizable Strategies for Security Games. IJCAI (2018)
Parinaz Naghizadeh, Arunesh Sinha
Adversarial Contract Design for Private Data Commercialization. CoRR (2018)
Ankit Shah, Arunesh Sinha, Rajesh Ganesan, Sushil Jajodia, Hasan Cam
Two Can Play That Game: An Adversarial Evaluation of a Cyber-alert Inspection System. CoRR (2018)
Arunesh Sinha, Aaron Schlenker, Donnabell Dmello, Milind Tambe
Scaling-Up Stackelberg Security Games Applications Using Approximations. GameSec (2018)
Nicolas Papernot, Patrick D. McDaniel, Arunesh Sinha, Michael P. Wellman
SoK: Security and Privacy in Machine Learning. EuroS&P (2018)
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, Kristen Brent Venable, Neal Wagner, Anna Zamansky
Reports of the Workshops of the 32nd AAAI Conference on Artificial Intelligence. AI Mag. 39 (4) (2018)
Arunesh Sinha, Fei Fang, Bo An, Christopher Kiekintveld, Milind Tambe
Stackelberg Security Games: Looking Beyond a Decade of Success. IJCAI (2018)
Linh Nguyen, Sky Wang, Arunesh Sinha
A Learning and Masking Approach to Secure Learning. GameSec (2018)
Linh Nguyen, Arunesh Sinha
A Learning Approach to Secure Learning. CoRR (2017)
Aaron Schlenker, Haifeng Xu, Mina Guirguis, Christopher Kiekintveld, Arunesh Sinha, Milind Tambe, Solomon Y. Sonya, Darryl Balderas, Noah Dunstatter
Don't Bury your Head in Warnings: A Game-Theoretic Approach for Intelligent Allocation of Cyber-security Alerts. IJCAI (2017)
Arunesh Sinha, Aaron Schlenker, Donnabell Dmello, Milind Tambe
Practical Scalability for Stackelberg Security Games. CoRR (2017)
Battista Biggio, David Freeman, Brad Miller, Arunesh Sinha
10th International Workshop on Artificial Intelligence and Security (AISec 2017). CCS (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)
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
Reports of the Workshops of the Thirty-First AAAI Conference on Artificial Intelligence. AI Mag. 38 (3) (2017)
Shahrzad Gholami, Bryan Wilder, Matthew Brown, Arunesh Sinha, Nicole D. Sintov, Milind Tambe
SPECTRE: A Game Theoretic Framework for Preventing Collusion in Security Games (Demonstration). AAMAS (2016)
Thanh Hong Nguyen, Arunesh Sinha, Milind Tambe
Conquering Adversary Behavioral Uncertainty in Security Games: An Efficient Modeling Robust Based Algorithm. AAAI (2016)
Arunesh Sinha, Debarun Kar, Milind Tambe
Learning Adversary Behavior in Security Games: A PAC Model Perspective. AAMAS (2016)
Nicolas Papernot, Patrick D. McDaniel, Arunesh Sinha, Michael P. Wellman
Towards the Science of Security and Privacy in Machine Learning. CoRR (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)
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 J. Witbrock, Jie Zhang
Reports of the 2016 AAAI Workshop Program. AI Mag. 37 (3) (2016)
Chao Zhang, Victor Bucarey, Ayan Mukhopadhyay, Arunesh Sinha, Yundi Qian, Yevgeniy Vorobeychik, Milind Tambe
Using Abstractions to Solve Opportunistic Crime Security Games at Scale. AAMAS (2016)
David Mandell Freeman, Katerina Mitrokotsa, Arunesh Sinha
9th International Workshop on Artificial Intelligence and Security: AISec 2016. CCS (2016)
Aaron Schlenker, Matthew Brown, Arunesh Sinha, Milind Tambe, Ruta Mehta
Get Me to My GATE on Time: Efficiently Solving General-Sum Bayesian Threat Screening Games. ECAI (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)
Benjamin J. Ford, Matthew Brown, Amulya Yadav, Amandeep Singh, Arunesh Sinha, Biplav Srivastava, Christopher Kiekintveld, Milind Tambe
Protecting the NECTAR of the Ganga River Through Game-Theoretic Factory Inspections. PAAMS (2016)
Sara Marie McCarthy, Arunesh Sinha, Milind Tambe, Pratyusa Manadhata
Data Exfiltration Detection and Prevention: Virtually Distributed POMDPs for Practically Safer Networks. GameSec (2016)
Matthew Brown, Arunesh Sinha, Aaron Schlenker, Milind Tambe
One Size Does Not Fit All: A Game-Theoretic Approach for Dynamically and Effectively Screening for Threats. AAAI (2016)
Chao Zhang, Shahrzad Gholami, Debarun Kar, Arunesh Sinha, Manish Jain, Ripple Goyal, Milind Tambe
Keeping Pace with Criminals: An Extended Study of Designing Patrol Allocation against Adaptive Opportunistic Criminals. Games 7 (3) (2016)
Arunesh Sinha, Thanh Hong Nguyen, Debarun Kar, Matthew Brown, Milind Tambe, Albert Xin Jiang
From physical security to cybersecurity. J. Cybersecur. 1 (1) (2015)
Chao Zhang, Manish Jain, Ripple Goyal, Arunesh Sinha, Milind Tambe
Learning, Predicting and Planning against Crime: Demonstration Based on Real Urban Crime Data (Demonstration). AAMAS (2015)
Haifeng Xu, Albert Xin Jiang, Arunesh Sinha, Zinovi Rabinovich, Shaddin Dughmi, Milind Tambe
Security Games with Information Leakage: Modeling and Computation. IJCAI (2015)
Anupam Datta, Deepak Garg, Dilsun Kirli Kaynar, Divya Sharma, Arunesh Sinha
Program Actions as Actual Causes: A Building Block for Accountability. CSF (2015)
Alejandro Uriel Carbonara, Anupam Datta, Arunesh Sinha, Yair Zick
Incentivizing Peer Grading in MOOCS: An Audit Game Approach. IJCAI (2015)
Haifeng Xu, Albert Xin Jiang, Arunesh Sinha, Zinovi Rabinovich, Shaddin Dughmi, Milind Tambe
Security Games With Information Leakage: Modeling and Computation. CoRR (2015)
Chao Zhang, Arunesh Sinha, Milind Tambe
Keeping Pace with Criminals: Designing Patrol Allocation Against Adaptive Opportunistic Criminals. AAMAS (2015)
Arunesh Sinha, Debarun Kar, Milind Tambe
Learning Adversary Behavior in Security Games: A PAC Model Perspective. CoRR (2015)
Anupam Datta, Deepak Garg, Dilsun Kirli Kaynar, Divya Sharma, Arunesh Sinha
Program Actions as Actual Causes: A Building Block for Accountability. CoRR (2015)
Jeremiah Blocki, Nicolas Christin, Anupam Datta, Ariel D. Procaccia, Arunesh Sinha
Audit Games with Multiple Defender Resources. AAAI (2015)
Christos Dimitrakakis, Aikaterini Mitrokotsa, Arunesh Sinha
Workshop Summary of AISec'15: 2015 Workshop on Artificial Intelligent and Security. CCS (2015)
Jeremiah Blocki, Nicolas Christin, Anupam Datta, Ariel D. Procaccia, Arunesh Sinha
Audit Games with Multiple Defender Resources. CoRR (2014)
Arunesh Sinha, Limin Jia, Paul England, Jacob R. Lorch
Continuous Tamper-Proof Logging Using TPM 2.0. TRUST (2014)
Jeremiah Blocki, Nicolas Christin, Anupam Datta, Ariel D. Procaccia, Arunesh Sinha
Audit Games. IJCAI (2013)
Jeremiah Blocki, Nicolas Christin, Anupam Datta, Arunesh Sinha
Adaptive Regret Minimization in Bounded-Memory Games. GameSec (2013)
Arunesh Sinha, Yan Li, Lujo Bauer
What you want is not what you get: predicting sharing policies for text-based content on facebook. AISec (2013)
Jeremiah Blocki, Nicolas Christin, Anupam Datta, Ariel D. Procaccia, Arunesh Sinha
Audit Games CoRR (2013)
Jeremiah Blocki, Nicolas Christin, Anupam Datta, Arunesh Sinha
Audit Mechanisms for Provable Risk Management and Accountable Data Governance. GameSec (2012)
Anupam Datta, Divya Sharma, Arunesh Sinha
Provable De-anonymization of Large Datasets with Sparse Dimensions. POST (2012)
Jeremiah Blocki, Nicolas Christin, Anupam Datta, Arunesh Sinha
Adaptive Regret Minimization in Bounded-Memory Games CoRR (2011)
Anupam Datta, Jeremiah Blocki, Nicolas Christin, Henry DeYoung, Deepak Garg, Limin Jia, Dilsun Kirli Kaynar, Arunesh Sinha
Understanding and Protecting Privacy: Formal Semantics and Principled Audit Mechanisms. ICISS (2011)

Arunesh Sinha.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Arunesh Sinha