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[WIP] Jailbreak Paradox: The Achilles' Heel of LLMs

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arxiv 2406.12702 v2 pith:QYNPNYIZ submitted 2024-06-18 cs.CL

classification cs.CL
keywords jailbreakmodelparadoxesachillesbroadercannotcaseclassifier
verification ladder T0 review T1 audit T2 compute T3 formal
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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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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. A Real-Time, Self-Tuning Moderator Framework for Adversarial Prompt Detection

    cs.CR 2025-08 conditional novelty 5.0 of 10

    RTST, a two-agent moderator with an explainable Behavior ledger and per-prompt weight updates, reduced attack success rate from 12-63% to 0-17% on three jailbreak benchmarks with Gemini 2.5 Flash.

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