JailbreakOPT: Tool-Assisted Iterative Jailbreak Prompt Optimization
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. We propose JailbreakOPT, a tool-assisted framework for improving iterative single-turn jailbreak prompt optimization. JailbreakOPT organizes diverse atomic jailbreak prompts into an attack tool library and composes them through a unified intra-episode optimization abstraction to generate stronger standalone attack prompts. To reuse experience across attack episodes, JailbreakOPT...
| Authors | Ge Shi, Jun Yin, Donglin Xie et al. |
|---|---|
| Primary category | cs.CR |
| Published | 9 June 2026 |
| Last updated at source | 9 June 2026 |
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