AI RESEARCH
Enhancing Jailbreak Attacks on LLMs via Persona Prompts
arXiv CS.AI
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ArXi:2507.22171v3 Announce Type: replace-cross Jailbreak attacks aim to exploit large language models (LLMs) by inducing them to generate harmful content, thereby revealing their vulnerabilities. Understanding and addressing these attacks is crucial for advancing the field of LLM safety. Previous jailbreak approaches have mainly focused on direct manipulations of harmful intent, with limited attention to the impact of persona prompts. In this study, we systematically explore the efficacy of persona prompts in compromising LLM defenses.