Arunesh Sinha

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Citations	2431	2019
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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
Fei FangCarnegie Mellon UniversityVerified email at cmu.edu
Christopher KiekintveldUniversity of Texas at El PasoVerified email at utep.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
Aaron SchlenkerUniversity of Southern CaliforniaVerified email at usc.edu
Ariel ProcacciaGordon McKay Professor of Computer Science, Harvard UniversityVerified email at seas.harvard.edu
Limin JiaCarnegie Mellon UniversityVerified email at cmu.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
Mina GuirguisProfessor, Computer Science Dept., Texas State UniversityVerified email at bu.edu
Sky CH-WangPhD Student, 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
Yair ZickUniversity of Massachusetts, AmherstVerified email at umass.edu
Sara McCarthyGoogle ResearchVerified email at google.com

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	524	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	420	2018
Stackelberg security games: Looking beyond a decade of success A Sinha, F Fang, B An, C Kiekintveld, M Tambe IJCAI, 2018	161	2018
Capture: A new predictive anti-poaching tool for wildlife protection TH Nguyen, A Sinha, S Gholami, A Plumptre, L Joppa, M Tambe, ...	85	2016
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	76	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	69	2015
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	61	2016
Audit games J Blocki, N Christin, A Datta, AD Procaccia, A Sinha International Joint Conference on Artificial Intelligence, 2013	61	2013
Understanding and protecting privacy: Formal semantics and principled audit mechanisms A Datta, J Blocki, N Christin, H DeYoung, D Garg, L Jia, D Kaynar, ... Springer 7093, 1, 2011	50	2011
Stackelberg security games (ssg) basics and application overview B An, M Tambe, A Sinha Improving Homeland Security Decisions, 485, 2017	48	2017
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	47	2020
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	47	2017
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, ...	41	2017
Learning adversary behavior in security games: A PAC model perspective A Sinha, D Kar, M Tambe arXiv preprint arXiv:1511.00043, 2015	41	2015
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	39	2014
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	38	2012
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	36	2019
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	36	2015
Three strategies to success: Learning adversary models in security games N Haghtalab, F Fang, TH Nguyen, A Sinha, AD Procaccia, M Tambe	35	2016
Human adversaries in opportunistic crime security games: Evaluating competing bounded rationality models YD Abbasi, M Short, A Sinha, N Sintov, C Zhang, M Tambe Proceedings of the third annual conference on advances in cognitive systems …, 2015	35	2015

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