基于LLM到SLM的对抗性提示蒸馏，实现高效且隐蔽的越狱攻击新方法。
arXiv:2506.17231v3 Announce Type: replace Abstract: Current jailbreak attacks on large language models (LLMs) predominantly rely on LLMs themselves to…
NeurIPS 2025论文：用变分推理框架系统性生成对抗性提示，揭示LLM安全漏洞，方法新颖理论扎实。
arXiv:2506.22666v3 Announce Type: replace-cross Abstract: The rise of API-only access to state-of-the-art LLMs highlights the need for effective black…
不再是优化提示词，而是进化攻击方法本身：一篇提出用进化算法自动合成LLM越狱攻击的论文，攻防研究者必读。
arXiv:2511.12710v2 Announce Type: replace Abstract: Automated red teaming frameworks for Large Language Models (LLMs) have become increasingly sophist…