Lessons Learned from Evaluating the Robustness of Defenses to Adversarial Examples

Lessons Learned from Evaluating the Robustness of Defenses to Adversarial Examples

Explore the challenges and insights in evaluating defenses against adversarial examples in deep learning systems through this 46-minute talk by Nicholas Carlini from Google Brain. Delve into threat models, non-certified defenses, and case studies from ICLR 2018. Learn how to distinguish true robustness from apparent robustness and gain valuable lessons for conducting better evaluations. Understand the iterative process of attacking and defending to optimize learning in the field of adversarial examples.