InfoResearchPreprintLLM-specific
Concerns in Benchmarking Jailbreaks: An Empirical Study of Attack Success Rates
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Summary
This paper examines how Attack Success Rate (ASR) for eight jailbreak attacks against three open-weight language models depends on the evaluation procedure. Low-resource language attacks score a mean ASR of 96.0% under keyword matching but 2.7% under a Qwen3 evaluator following StrongREJECT scoring instructions. Repeated sampling at Ollama's default temperature of 0.8 yields 100% ASR under keyword matching versus 50% under the Qwen3 evaluator, suggesting residual unsafe behavior can persist despite an initial refusal.
Mitigation
The paper recommends explicit success definitions, matched response budgets, validated evaluators, and reporting cumulative failure under repeated interaction rather than relying on single-generation tests.
Topics
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