Yevgeniy Vorobeychik
Cited by
Cited by
Data poisoning attacks on factorization-based collaborative filtering
B Li, Y Wang, A Singh, Y Vorobeychik
Advances in neural information processing systems 29, 1885-1893, 2016
Notes on equilibria in symmetric games
SF Cheng, DM Reeves, Y Vorobeychik, MP Wellman
GTDT, 2004
Adversarial machine learning
Y Vorobeychik, M Kantarcioglu
Synthesis Lectures on Artificial Intelligence and Machine Learning 12 (3), 1-169, 2018
Feature cross-substitution in adversarial classification
B Li, Y Vorobeychik
Advances in neural information processing systems 27, 2087-2095, 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
Price prediction in a trading agent competition
MP Wellman, DM Reeves, KM Lochner, Y Vorobeychik
Journal of Artificial Intelligence Research 21, 19-36, 2004
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
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 (6), 1023-1049, 2016
Deceiving cyber adversaries: A game theoretic approach
A Schlenker, O Thakoor, H Xu, M Tambe, P Vayanos, F Fang, ...
International Conference on Autonomous Agents and Multiagent Systems, 2018
Submodular optimization with routing constraints
H Zhang, Y Vorobeychik
Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016
Distributed Feedback Control for Decision Making on Supply Chains.
C Kiekintveld, MP Wellman, SP Singh, J Estelle, Y Vorobeychik, V Soni, ...
ICAPS, 384-392, 2004
Optimal randomized classification in adversarial settings.
Y Vorobeychik, B Li
AAMAS, 485-492, 2014
Empirically grounded agent-based models of innovation diffusion: a critical review
H Zhang, Y Vorobeychik
Artificial Intelligence Review 52 (1), 707-741, 2019
Security games with limited surveillance
B An, D Kempe, C Kiekintveld, E Shieh, S Singh, M Tambe, ...
Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
Stochastic search methods for nash equilibrium approximation in simulation-based games.
Y Vorobeychik, MP Wellman
AAMAS (2), 1055-1062, 2008
Learning payoff functions in infinite games
Y Vorobeychik, MP Wellman, S Singh
Machine Learning 67 (1-2), 145-168, 2007
Security games with surveillance cost and optimal timing of attack execution.
B An, M Brown, Y Vorobeychik, M Tambe
AAMAS, 223-230, 2013
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
Scalable optimization of randomized operational decisions in adversarial classification settings
B Li, Y Vorobeychik
Artificial Intelligence and Statistics, 599-607, 2015
Searching for approximate equilibria in empirical games
PR Jordan, Y Vorobeychik, MP Wellman
Proceedings of the 7th international joint conference on Autonomous agents …, 2008
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