利用知识编辑的关联上下文检索，暴露大模型白盒攻击新路径，安全研究员不容错过的前沿论文。
arXiv:2608.17836v1 Announce Type: new Abstract: As large language models (LLMs) are granted increasing autonomy, it is essential to investigate method…
别再手动验证候选bug了！AnyPoC自动生成可执行测试用例，让LLM漏洞检测从"疑似"走向"实锤"，大幅提升自动化检测的可落地性。
arXiv:2604.11950v2 Announce Type: replace-cross Abstract: While recent LLM-based agents can identify many candidate bugs in source code, their reports…
揭秘大模型越狱漏洞的底层机制，从概念对齐到脆弱特征的因果定位。
arXiv:2604.23130v2 Announce Type: replace Abstract: Jailbreak attacks expose a persistent failure mode in safety-aligned LLMs: models can be pushed in…
只需一个token就能轻松骗过LLM评判者，揭示AI评估体系的安全软肋。
arXiv:2507.08794v3 Announce Type: replace-cross Abstract: Large language models (LLMs) are increasingly trusted as automated judges, assisting evaluat…
系统研究强化学习对LLM的越狱攻击，揭示AI安全新风险，值得关注
arXiv:2605.07032v2 Announce Type: replace-cross Abstract: The evolution of generative models from next-token predictors to autonomous engines of compl…