arXiv:2606. 11425v1 Announce Type: new Abstract: Jailbreak attacks expose persistent safety weaknesses in large language models (LLMs), but existing stateless single-turn methods face a trade-off: hand-crafted prompts are expressive but static, while iterative prompt optimization can adapt but often relies on low-level mutations that require many target queries.
Paper
JailbreakOPT: Tool-Assisted Iterative Jailbreak Prompt Optimization
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