Developments in Adversarial Machine Learning
Abstract: The past five years have seen thousands of academic papers devoted to the study of adversarial examples in machine learning. Yet, despite countless proposed defenses, robustness remains evasive even for the simplest toy threat models. I’ll discuss recent work that shows how defenses degrade when extended to multiple perturbation types, and how models can