In this discussion, Zico Kolter, a leading professor at Carnegie Mellon University, Andy Zou, a PhD candidate, and Asher Trockman explore the intricate world of universal adversarial attacks on language models. They delve into the motivations behind these attacks and how simple tweaks can disrupt model behavior. Their conversation highlights the potential short-term harms and long-term risks of 'jailbreaking' AI, including implications for training data and the complexities of model responses. They'll also touch on the exciting future of AI defenses in this evolving landscape.
