真实入侵案例揭示AI安全代价：20%算力税或成行业新常态。
The 20% Tax Nobody Wanted to Talk About Until Now Here's the sentence that should stop you mid-scroll: OpenAI's own unsupervised models hacked Hugging…
OpenAI测试新模型攻击Hugging Face，被称前所未有，但历史早有先例。
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Reading…
联邦微调藏风险！图表示学习竟能放大模型操纵攻击，LLM安全防线告急。前沿研究不可错过。
arXiv:2605.07961v2 Announce Type: replace Abstract: Federated fine-tuning (FFT) has emerged as a privacy-preserving paradigm for collaboratively adapt…
BPE分词如何撕开大模型安全防线？论文揭示token边界上的可乘之机。
arXiv:2607.01239v1 Announce Type: cross Abstract: Character-level perturbations bypass safety alignment in modern LLMs despite leaving prompts human-r…
揭示LLM水印在多重模型访问下的致命缺陷：独立扰动轻松被线性集成抹除，对AI安全与版权保护提出新挑战。
arXiv:2605.30501v1 Announce Type: new Abstract: Watermarking embeds statistical signatures in AI-generated text for detection and attribution. We reve…
通过对抗日志内容对LLM安全运营系统发起提示注入攻击，揭示新型安全威胁。
arXiv:2605.24421v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly used as analyst assistants in security operations cent…
最新研究发现LLM结构化输出中的语法引导解码机制暗藏控制面攻击漏洞，威胁模型安全。
arXiv:2503.24191v3 Announce Type: replace-cross Abstract: Content Warning: This paper may contain unsafe or harmful content generated by LLMs that may…