Tony Wang
PhD Student | MIT
Tony Wang is a PhD student in the Computer Science and Artificial Intelligence Laboratory at the Massachusetts Institute of Technology (MIT), where he is advised by Nir Shavit. Tony’s research focuses on adversarial robustness. Tony collaborated with Adam Gleave and others at FAR.AI. For more information, see his website.
NEWs & publications
Beyond the Board: Exploring AI Robustness Through Go
December 21, 2023
beyond-the-board-exploring-ai-robustness-through-go
Can Go AIs be adversarially robust?
can-go-ais-be-adversarially-robust
Even Superhuman Go AIs Have Surprising Failure Modes
July 15, 2023
even-superhuman-go-ais-have-surprising-failure-modes
Adversarial Policies Beat Superhuman Go AIs
adversarial-policies-beat-superhuman-go-ais
Can Go AIs be adversarially robust?
June 18, 2024
can-go-ais-be-adversarially-robust
Even Superhuman Go AIs Have Surprising Failure Modes
even-superhuman-go-ais-have-surprising-failure-modes
Adversarial Policies Beat Superhuman Go AIs
January 9, 2023
adversarial-policies-beat-superhuman-go-ais
Beyond the Board: Exploring AI Robustness Through Go
beyond-the-board-exploring-ai-robustness-through-go
