| Data poisoning attacks on factorization-based collaborative filtering B Li, Y Wang, A Singh, Y Vorobeychik Advances in neural information processing systems 29, 2016 | 273 | 2016 |
| Adversarial machine learning Y Vorobeychik, M Kantarcioglu, R Brachman, P Stone, F Rossi Morgan & Claypool Publishers, 2018 | 225 | 2018 |
| Notes on equilibria in symmetric games SF Cheng, DM Reeves, Y Vorobeychik, MP Wellman GTDT, 2004 | 198 | 2004 |
| Feature cross-substitution in adversarial classification B Li, Y Vorobeychik Advances in neural information processing systems 27, 2014 | 141 | 2014 |
| 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 | 133 | 2016 |
| 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 | 131 | 2010 |
| Submodular optimization with routing constraints H Zhang, Y Vorobeychik Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016 | 117 | 2016 |
| Empirically grounded agent-based models of innovation diffusion: a critical review H Zhang, Y Vorobeychik Artificial Intelligence Review 52, 707-741, 2019 | 113 | 2019 |
| 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 | 112 | 2005 |
| Price prediction in a trading agent competition MP Wellman, DM Reeves, KM Lochner Proceedings of the 4th ACM conference on Electronic commerce, 216-217, 2003 | 111 | 2003 |
| 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 | 99 | 2018 |
| 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 | 96 | 2017 |
| Optimal randomized classification in adversarial settings. Y Vorobeychik, B Li AAMAS, 485-492, 2014 | 90 | 2014 |
| Distributed Feedback Control for Decision Making on Supply Chains. C Kiekintveld, MP Wellman, S Singh, J Estelle, Y Vorobeychik, V Soni, ... ICAPS, 384-392, 2004 | 83 | 2004 |
| Stochastic search methods for nash equilibrium approximation in simulation-based games. Y Vorobeychik, MP Wellman AAMAS (2), 1055-1062, 2008 | 79 | 2008 |
| Learning payoff functions in infinite games Y Vorobeychik, MP Wellman, S Singh Machine Learning 67, 145-168, 2007 | 79 | 2007 |
| Defending against physically realizable attacks on image classification T Wu, L Tong, Y Vorobeychik arXiv preprint arXiv:1909.09552, 2019 | 78 | 2019 |
| 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 | 75* | 2019 |
| SURE: A modeling and simulation integration platform for evaluation of secure and resilient cyber–physical systems X Koutsoukos, G Karsai, A Laszka, H Neema, B Potteiger, P Volgyesi, ... Proceedings of the IEEE 106 (1), 93-112, 2017 | 74 | 2017 |
| 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 | 73 | 2012 |
Bo LiUniversity of Illinois at Urbana–Champaign在 illinois.edu 的电子邮件经过验证
