Adversaries continuously transform their tactics and tools to deceive or break applications based on AI. With increasing numbers of AI deployed in security critical applications their focus is on evading and extracting the underlying ML to achieve their malicious goals. This hands-on Learning Lab will be a unique opportunity to learn why we should break our own AI, and more importantly how to break it! This session will follow Chatham House Rule to allow for free exchange of information and learning. We look forward to participants actively engaging in the discussion and remind attendees that no comment attribution or recording of any sort should take place. This is a capacity-controlled session. If added to your schedule and your availability changes, please remove this session from your schedule to allow others to participate.