Yevgeniy Vorobeychik

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	Toate	Din 2020
Referințe bibliografice	8061	5201
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Bradley MalinAccenture Professor of Biomedical Informatics, Biostatistics, and Computer Science, VanderbiltAdresă de e-mail confirmată pe vanderbilt.edu
Murat KantarciogluProfessor of Computer Science, Virginia TechAdresă de e-mail confirmată pe vt.edu
Michael WellmanProfessor of Computer Science & Engineering, University of MichiganAdresă de e-mail confirmată pe umich.edu
Aron LaszkaAssistant Professor, Pennsylvania State UniversityAdresă de e-mail confirmată pe psu.edu
Xenofon KoutsoukosVanderbilt UniversityAdresă de e-mail confirmată pe vanderbilt.edu
Milind TambeProfessor & Director CRCS Center @Harvard; Director "AI for Social Good" @Google ResearchAdresă de e-mail confirmată pe harvard.edu
Bo LiUniversity of Illinois at Urbana–ChampaignAdresă de e-mail confirmată pe illinois.edu
Ellen Wright ClaytonProfessor, Vanderbilt UniversityAdresă de e-mail confirmată pe vanderbilt.edu
Satinder SinghGoogle DeepMind / U. of MichiganAdresă de e-mail confirmată pe umich.edu
Bo AnNanyang Technological UniversityAdresă de e-mail confirmată pe ntu.edu.sg
Ayan MukhopadhyaySenior Research Scientist, Vanderbilt UniversityAdresă de e-mail confirmată pe vanderbilt.edu
Daniel ReevesCo-founder, BeeminderAdresă de e-mail confirmată pe beeminder.com
Waseem AbbasUniversity of Texas at DallasAdresă de e-mail confirmată pe utdallas.edu
Christopher KiekintveldUniversity of Texas at El PasoAdresă de e-mail confirmată pe utep.edu
Liang TongSenior Researcher, Stellar Cyber, Inc.Adresă de e-mail confirmată pe stellarcyber.ai
Haifeng ZhangRoku Inc.Adresă de e-mail confirmată pe roku.com
Chen HajajAriel UniversityAdresă de e-mail confirmată pe ariel.ac.il
Sixie YuStellar Cyber, Inc.Adresă de e-mail confirmată pe wustl.edu
Jian LouApplied Scientist @ Amazon.comAdresă de e-mail confirmată pe amazon.com
weiyi xiaVanderbilt UniversityAdresă de e-mail confirmată pe vanderbilt.edu

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Yevgeniy Vorobeychik

Washington University in Saint Louis

Adresă de e-mail confirmată pe wustl.edu - Pagina de pornire

Artificial intelligence adversarial machine learning computational game theory security and privacy


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
Data poisoning attacks on factorization-based collaborative filtering B Li, Y Wang, A Singh, Y Vorobeychik Advances in neural information processing systems 29, 2016	431	2016
Adversarial machine learning Y Vorobeychik, M Kantarcioglu Morgan & Claypool Publishers, 2018	318	2018
Notes on equilibria in symmetric games SF Cheng, DM Reeves, Y Vorobeychik, MP Wellman GTDT, 2004	218	2004
Empirically grounded agent-based models of innovation diffusion: a critical review H Zhang, Y Vorobeychik Artificial Intelligence Review 52, 707-741, 2019	193	2019
Data-driven agent-based modeling, with application to rooftop solar adoption H Zhang, Y Vorobeychik, J Letchford, K Lakkaraju Autonomous Agents and Multi-Agent Systems 30, 1023-1049, 2016	173	2016
Submodular optimization with routing constraints H Zhang, Y Vorobeychik Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016	159	2016
Feature cross-substitution in adversarial classification B Li, Y Vorobeychik Advances in neural information processing systems 27, 2014	153	2014
Behavioral dynamics and influence in networked coloring and consensus S Judd, M Kearns, Y Vorobeychik Proceedings of the National Academy of Sciences 107 (34), 14978-14982, 2010	142	2010
Deceiving cyber adversaries: A game theoretic approach A Schlenker, O Thakoor, H Xu, F Fang, M Tambe, L Tran-Thanh, ... AAMAS'18: Proceedings of the 17th International Conference on Autonomous …, 2018	141	2018
Defending against physically realizable attacks on image classification T Wu, L Tong, Y Vorobeychik International Conference on Learning Representations (ICLR), 2020	139	2020
Robust linear regression against training data poisoning C Liu, B Li, Y Vorobeychik, A Oprea Proceedings of the 10th ACM workshop on artificial intelligence and security …, 2017	128	2017
Improving robustness of ML classifiers against realizable evasion attacks using conserved features L Tong, B Li, C Hajaj, C Xiao, N Zhang, Y Vorobeychik 28th USENIX Security Symposium (USENIX Security 19), 285-302, 2019	126*	2019
A tale of evil twins: Adversarial inputs versus poisoned models R Pang, H Shen, X Zhang, S Ji, Y Vorobeychik, X Luo, A Liu, T Wang Proceedings of the 2020 ACM SIGSAC conference on computer and communications …, 2020	122	2020
Attacking vision-based perception in end-to-end autonomous driving models A Boloor, K Garimella, X He, C Gill, Y Vorobeychik, X Zhang Journal of Systems Architecture 110, 101766, 2020	119	2020
Strategic interactions in a supply chain game MP Wellman, J Estelle, S Singh, Y Vorobeychik, C Kiekintveld, V Soni Computational Intelligence 21 (1), 1-26, 2005	116	2005
Sociotechnical safeguards for genomic data privacy Z Wan, JW Hazel, EW Clayton, Y Vorobeychik, M Kantarcioglu, BA Malin Nature Reviews Genetics 23 (7), 429-445, 2022	109	2022
Price prediction in a trading agent competition MP Wellman, DM Reeves, KM Lochner, Y Vorobeychik Proceedings of the 4th ACM conference on Electronic commerce, 216-217, 2003	109	2003
Simple physical adversarial examples against end-to-end autonomous driving models A Boloor, X He, C Gill, Y Vorobeychik, X Zhang 2019 IEEE International Conference on Embedded Software and Systems (ICESS), 1-7, 2019	104	2019
Learning payoff functions in infinite games Y Vorobeychik, MP Wellman, S Singh Machine Learning 67, 145-168, 2007	98	2007
Optimal randomized classification in adversarial settings. Y Vorobeychik, B Li AAMAS, 485-492, 2014	95	2014

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