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Hamed Hassani (University of Pennsylvania): “Robustness in the Era of LLMs: Jailbreaking Attacks and Defenses”
September 25 @ 12:00 PM - 1:15 PM
Abstract:
Despite efforts to align large language models (LLMs) with human intentions, popular LLMs such as chatGPT, Llama, Claude, and Gemini are susceptible to jailbreaking attacks, wherein an adversary fools a targeted LLM into generating objectionable content. For this reason, interest has grown in improving the robustness of LLMs against such attacks. In this talk, we review the current state of the jailbreaking literature, including new questions about robust generalization, discussions of new black-box attacks on LLMs, defenses against jailbreaking attacks, and a new leaderboard to evaluate the robust generalization of production LLMs.
Biography:
Hamed Hassani is currently an associate professor of the Electrical and Systems Engineering Department, the Computer and Information Systems Department, and the Department of Statistics and Data Science at the Universityof Pennsylvania. Prior to that, he was a research fellow at Simons Institute for the Theory of Computing (UC Berkeley) affiliated with the program of Foundations of
