MT-JailBench: A Modular Benchmark for Understanding Multi-Turn Jailbreak Attacks

Multi-turn jailbreaks exploit the ability of large language models to accumulate and act on conversational context. Instead of stating a harmful request directly, an attacker can gradually steer the conversation toward an unsafe answer. Recent methods demonstrate this risk, but they are usually evaluated as black-box pipelines with different budgets, judges, retry rules, and strategy generation procedures. As a result, it is often unclear whether reported gains reflect stronger attack mechanisms

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ethics.ai (10 May 2026), “MT-JailBench: A Modular Benchmark for Understanding Multi-Turn Jailbreak Attacks,” evidence record 4642, https://ethics.ai/record/4642 (originally published by arXiv).

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