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Jailbreak Paradox: The Achilles' Heel of LLMs

18 June 2024
Abhinav Rao
Monojit Choudhury
Somak Aditya
ArXiv (abs)PDFHTML
Abstract

We introduce two paradoxes concerning jailbreak of foundation models: First, it is impossible to construct a perfect jailbreak classifier, and second, a weaker model cannot consistently detect whether a stronger (in a pareto-dominant sense) model is jailbroken or not. We provide formal proofs for these paradoxes and a short case study on Llama and GPT4-o to demonstrate this. We discuss broader theoretical and practical repercussions of these results.

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