The Missing Compliance Class: LLM Graders That Collapse Jailbreak Success, and a Free Check
Jailbreak papers report an attack success rate, the share of responses that deliver the harmful request, and read it as a property of the target model.
ProofPaper ↗
Key points
- We hold the target model, the prompts and the responses fixed and change only the grader.
- Three dense graders of 8B and 9B parameters, from three model families, move compliant responses to the neighbouring class, evasion, instead of scattering them across classes.
- The collapse decides how the rate behaves under a change of grader.
- We propose a reporting minimum that keeps the compliance rate and adds its per-class label counts and the named grader.
Sources (1)
- [1]The Missing Compliance Class: LLM Graders That Collapse Jailbreak Success, and a Free CheckarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 17, 09:20 PM
Jailbreak papers report an attack success rate, the share of responses that deliver the harmful request, and read it as a property of the target model.
We hold the target model, the prompts and the responses fixed and change only the grader.
Extractive summary: sentences quoted from the sources.
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