You might have heard about them. Maybe you saw a headline or read an article talking about them. Or maybe you overheard a conversation. Regardless of where or how, more people are talking about attacks on AI or Machine Learning. Which I find fantastic!

For me, It’s been almost 10 years. My master’s degree was situated around using machine learning to attack other systems, and now my PhD is focused on attacking the very algorithms that facilitated my previous research.

But what if someone wanted to learn about these attacks? Or even learn some of them? Unfortunately the information around attacking AI is scattered between academia and industry, including papers, random websites, blogs (perhaps I am a contributor to this problem), social media posts, and the like. So I did some research on some of the more pertinent areas to provide the list of resources below.