Arunesh Sinha

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Milind TambeProfessor & Director CRCS Center @Harvard; Director "AI for Social Good" @Google ResearchVerified email at harvard.edu
Michael WellmanProfessor of Computer Science & Engineering, University of MichiganVerified email at umich.edu
Anupam DattaProfessor, Electrical and Computer Engineering & Computer Science Departments, CMUVerified email at cmu.edu
Jeremiah BlockiPurdue UniversityVerified email at purdue.edu
Patrick McDanielTsun-Ming Shih Professor of Computer Sciences, University of Wisconsin-MadisonVerified email at cs.wisc.edu
Nicolas PapernotUniversity of Toronto and Vector InstituteVerified email at utoronto.ca
Fei FangCarnegie Mellon UniversityVerified email at cmu.edu
Christopher KiekintveldUniversity of Texas at El PasoVerified email at utep.edu
Ariel ProcacciaGordon McKay Professor of Computer Science, Harvard UniversityVerified email at seas.harvard.edu
Deepak GargMax Planck Institute for Software Systems (MPI-SWS), Saarland Informatics Campus (SIC)Verified email at mpi-sws.org
Divya SharmaGoogleVerified email at google.com
Haifeng XuUniversity of ChicagoVerified email at uchicago.edu
Sky CH-WangPhD Candidate, Columbia University in the City of New YorkVerified email at cs.columbia.edu
Victor Bucarey LopezUniversidad de O'HigginsVerified email at uoh.cl
Lujo BauerCarnegie Mellon UniversityVerified email at cmu.edu
Phebe VayanosAssociate Professor at University of Southern California; Co-Director of Center for AI in SocietyVerified email at usc.edu
Sara McCarthyGoogle ResearchVerified email at google.com
Yair ZickUniversity of Massachusetts, AmherstVerified email at umass.edu

Arunesh Sinha

Rutgers University

Verified email at rutgers.edu - Homepage

Optimization Multi-agent Systems Game Theory Machine Learning


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Towards the science of security and privacy in machine learning N Papernot, P McDaniel, A Sinha, M Wellman arXiv preprint arXiv:1611.03814, 2016	631	2016
Sok: Security and privacy in machine learning N Papernot, P McDaniel, A Sinha, MP Wellman 2018 IEEE European symposium on security and privacy (EuroS&P), 399-414, 2018	599	2018
Stackelberg security games: Looking beyond a decade of success A Sinha, F Fang, B An, C Kiekintveld, M Tambe IJCAI, 2018	227	2018
Capture: A new predictive anti-poaching tool for wildlife protection TH Nguyen, A Sinha, S Gholami, A Plumptre, L Joppa, M Tambe, ...	99	2016
Generating realistic stock market order streams J Li, X Wang, Y Lin, A Sinha, M Wellman Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 727-734, 2020	89	2020
Keeping pace with criminals: An extended study of designing patrol allocation against adaptive opportunistic criminals C Zhang, S Gholami, D Kar, A Sinha, M Jain, R Goyal, M Tambe Games 7 (3), 15, 2016	80	2016
From physical security to cybersecurity A Sinha, TH Nguyen, D Kar, M Brown, M Tambe, AX Jiang Journal of Cybersecurity 1 (1), 19-35, 2015	77	2015
Trends and applications in Stackelberg security games D Kar, TH Nguyen, F Fang, M Brown, A Sinha, M Tambe, AX Jiang Handbook of dynamic game theory, 1-47, 2017	74	2017
One size does not fit all: A game-theoretic approach for dynamically and effectively screening for threats M Brown, A Sinha, A Schlenker, M Tambe Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016	70	2016
Audit games J Blocki, N Christin, A Datta, AD Procaccia, A Sinha International Joint Conference on Artificial Intelligence, 2013	66	2013
Stackelberg security games (ssg) basics and application overview B An, M Tambe, A Sinha Improving Homeland Security Decisions 2, 485, 2017	60	2017
Understanding and protecting privacy: Formal semantics and principled audit mechanisms A Datta, J Blocki, N Christin, H DeYoung, D Garg, L Jia, D Kaynar, ... International Conference on Information Systems Security, 1-27, 2011	51	2011
Deception in finitely repeated security games TH Nguyen, Y Wang, A Sinha, MP Wellman Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 2133-2140, 2019	49	2019
Continuous tamper-proof logging using tpm 2.0 A Sinha, L Jia, P England, JR Lorch Trust and Trustworthy Computing: 7th International Conference, TRUST 2014 …, 2014	49	2014
Three strategies to success: Learning adversary models in security games N Haghtalab, F Fang, TH Nguyen, A Sinha, AD Procaccia, M Tambe	48	2016
Learning adversary behavior in security games: A PAC model perspective A Sinha, D Kar, M Tambe arXiv preprint arXiv:1511.00043, 2015	47	2015
Don’t bury your head in warnings: A game-theoretic approach for intelligent allocation of cyber-security alerts A Schlenker, H Xu, M Guirguis, C Kiekintveld, A Sinha, M Tambe, S Sonya, ...	44	2017
Provable de-anonymization of large datasets with sparse dimensions A Datta, D Sharma, A Sinha Principles of Security and Trust: First International Conference, POST 2012 …, 2012	43	2012
Program actions as actual causes: A building block for accountability A Datta, D Garg, D Kaynar, D Sharma, A Sinha 2015 IEEE 28th Computer Security Foundations Symposium, 261-275, 2015	39	2015
Audit games with multiple defender resources J Blocki, N Christin, A Datta, A Procaccia, A Sinha Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015	39	2015

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