Arunesh Sinha

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Milind TambeProfessor & Director CRCS Center @Harvard; Director "AI for Social Good" @Google ResearchEmail verificata su harvard.edu
Michael WellmanProfessor of Computer Science & Engineering, University of MichiganEmail verificata su umich.edu
Anupam DattaSnowflake AI Research, Ex-Professor CMUEmail verificata su snowflake.com
Jeremiah BlockiPurdue UniversityEmail verificata su purdue.edu
Patrick McDanielTsun-Ming Shih Professor of Computer Sciences, University of Wisconsin-MadisonEmail verificata su cs.wisc.edu
Nicolas PapernotUniversity of Toronto and Vector InstituteEmail verificata su utoronto.ca
Fei FangCarnegie Mellon UniversityEmail verificata su cmu.edu
Christopher KiekintveldUniversity of Texas at El PasoEmail verificata su utep.edu
Ariel ProcacciaGordon McKay Professor of Computer Science, Harvard UniversityEmail verificata su seas.harvard.edu
Haifeng XuUniversity of ChicagoEmail verificata su uchicago.edu
Deepak GargMax Planck Institute for Software Systems (MPI-SWS), Saarland Informatics Campus (SIC)Email verificata su mpi-sws.org
Divya SharmaGoogleEmail verificata su google.com
Sky CH-WangPhD Candidate, Columbia University in the City of New YorkEmail verificata su cs.columbia.edu
Victor Bucarey LopezUniversidad de O'HigginsEmail verificata su uoh.cl
Lujo BauerCarnegie Mellon UniversityEmail verificata su cmu.edu
Phebe VayanosAssociate Professor at University of Southern California; Co-Director of Center for AI in SocietyEmail verificata su usc.edu
Sara McCarthyGoogle ResearchEmail verificata su google.com
Yair ZickUniversity of Massachusetts, AmherstEmail verificata su umass.edu

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Arunesh Sinha

Rutgers University

Email verificata su rutgers.edu - Home page

Optimization Multi-agent Systems Game Theory Machine Learning


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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	665	2018
Towards the science of security and privacy in machine learning N Papernot, P McDaniel, A Sinha, M Wellman arXiv preprint arXiv:1611.03814, 2016	657	2016
Stackelberg security games: Looking beyond a decade of success A Sinha, F Fang, B An, C Kiekintveld, M Tambe IJCAI, 2018	243	2018
Capture: A new predictive anti-poaching tool for wildlife protection TH Nguyen, A Sinha, S Gholami, A Plumptre, L Joppa, M Tambe, ...	104	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	103	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	84	2016
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	79	2017
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	78	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	71	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	64	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	55	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	50	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	46	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, ...	45	2017
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	43	2015
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
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	42	2015

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