Articles with public access mandates - Michael WellmanLearn more
Available somewhere: 29
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
Mandates: US Department of Defense
Machine behaviour
I Rahwan, M Cebrian, N Obradovich, J Bongard, JF Bonnefon, C Breazeal, ...
Nature 568 (7753), 477-486, 2019
Mandates: US National Science Foundation, US Department of Defense, US Office of the …
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
Mandates: US National Science Foundation
Welfare effects of market making in continuous double auctions
E Wah, M Wright, MP Wellman
Journal of Artificial Intelligence Research 59, 613-650, 2017
Mandates: US National Science Foundation
Multi-stage attack graph security games: Heuristic strategies, with empirical game-theoretic analysis
TH Nguyen, M Wright, MP Wellman, S Baveja
Proceedings of the 2017 Workshop on Moving Target Defense, 87-97, 2017
Mandates: US Department of Defense
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
Mandates: US Department of Defense
Spoofing the limit order book: An agent-based model
X Wang, MP Wellman
Workshops at the Thirty-First AAAI Conference on Artificial Intelligence, 2017
Mandates: US National Science Foundation
Iterated deep reinforcement learning in games: History-aware training for improved stability
M Wright, Y Wang, MP Wellman
Proceedings of the 2019 ACM Conference on Economics and Computation, 617-636, 2019
Mandates: US Department of Defense
Latency arbitrage in fragmented markets: A strategic agent-based analysis
E Wah, MP Wellman
Algorithmic Finance 5 (3-4), 69-93, 2016
Mandates: US National Science Foundation
A cloaking mechanism to mitigate market manipulation
X Wang, Y Vorobeychik, MP Wellman
Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Mandates: US National Science Foundation, US Department of Defense
Empirical mechanism design for optimizing clearing interval in frequent call markets
E Brinkman, MP Wellman
Proceedings of the 2017 ACM Conference on Economics and Computation, 205-221, 2017
Mandates: US National Science Foundation
Spoofing the limit order book: A strategic agent-based analysis
X Wang, C Hoang, Y Vorobeychik, MP Wellman
Games 12 (2), 46, 2021
Mandates: US National Science Foundation
A stackelberg game model for botnet data exfiltration
T Nguyen, MP Wellman, S Singh
Decision and Game Theory for Security: 8th International Conference, GameSec …, 2017
Mandates: US Department of Defense
Evaluating the stability of non-adaptive trading in continuous double auctions
M Wright, MP Wellman
17th International Conference on Autonomous Agents and Multiagent Systems, 2018
Mandates: US National Science Foundation
Self-confirming price-prediction strategies for simultaneous one-shot auctions
MP Wellman, E Sodomka, A Greenwald
Games and Economic Behavior 102, 339-372, 2017
Mandates: US National Science Foundation
Learning to play against any mixture of opponents
MO Smith, T Anthony, MP Wellman
Frontiers in Artificial Intelligence 6, 804682, 2023
Mandates: US Department of Defense
Evolution strategies for approximate solution of Bayesian games
Z Li, MP Wellman
Proceedings of the AAAI Conference on Artificial Intelligence 35 (6), 5531-5540, 2021
Mandates: US Department of Defense
Market manipulation: An adversarial learning framework for detection and evasion
X Wang, MP Wellman
29th International Joint Conference on Artificial Intelligence, 2020
Mandates: US National Science Foundation
Structure learning for approximate solution of many-player games
Z Li, M Wellman
Proceedings of the AAAI Conference on Artificial Intelligence 34 (02), 2119-2127, 2020
Mandates: US Department of Defense
Accounting for strategic response in an agent-based model of financial regulation
F Cheng, MP Wellman
Proceedings of the 2017 ACM Conference on Economics and Computation, 187-203, 2017
Mandates: US National Science Foundation
Publication and funding information is determined automatically by a computer program