Thursday, July 7, 2022 1:30 pm
-
2:30 pm
EDT (GMT -04:00)
Master’s Thesis Presentation • Cryptography, Security and Privacy (CrySP) • Security and Ownership Verification in Deep Reinforcement
Please note: This master’s thesis presentation will be given online.
Ching-wen Wang, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor N. Asokan
Deep reinforcement learning (DRL) has seen many successes in complex tasks such as robot manipulation, autonomous driving, and competitive games. However, there are few studies on the security threats against DRL systems. In this thesis, we focus on two security concerns in DRL.
