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Please note: This seminar will be given online.

Hongyang Zhang, Postdoctoral Fellow
Toyota Technological Institute at Chicago

Deep learning models are often vulnerable to adversarial examples. In this talk, we will focus on robustness and security of machine learning against adversarial examples. There are two types of defenses against such attacks: 1) empirical and 2) certified adversarial robustness.

Please note: This master’s thesis presentation will be given online.

Kyle Robinson, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Dan Brown