Deep Learning in Adversarial Settings

I just completed this course in Berkeley and I can’t thank the instructors enough for such a wonderful course and website. Does anyone know of a good resource where I can read more about deep learning in adversarial setting, ways to attack neural networks and possible defenses? Even better, I hope the authors of this book can consider the addition of this topic :slight_smile:

Great to hear that you enjoyed the class.

This class at MIT covers quite a bit about adversarial attacks in deep learning.

There’s this paper by GoodFellow and this survey paper as well about adversarial attacks. And this one about a way to resist them: