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Oct 13 · Tuesday
Another 213 papers do not have category tags yet and are not included in filtered results.
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About this collection Collection in progress We are building a large AI safety paper collection to help researchers find work related to their interests. Papers are collected automatically andfiltered only for relevance to AI safety , without judging quality, novelty or reading value. The default “Annotated first” shows papers with tags or published paper analyses first. Each group is ordered by original publication date, newest first, with undated papers last. “Newest first” uses publication dates only. This order is not a quality ranking.
One-line summaries, tags and paper analyses are prepared by AI from the papers. Language models may have systematic biases and produce hallucinations.We plan to carry out human annotation and review to reduce errors in this content.
提出 ASA 与 AttestMCP,度量并降低 LLM 对输入序列扰动的敏感
Published Oct 2
Evaluated models Gemma-3-27B-Instruct , Gemma-3-4B-Instruct , Llama-3.2-3B-Instruct and others12 提出 CAVA,将异构智能体运行时事件规范为可哈希动作并绑定审批与回执
Published Jul 15 Abstract CAVA 用规范动作指纹承接异构运行时治理。CAVA 是给异构智能体运行时用的动作语义层,用来回答“被批准和被审计的到底是哪一个动作”。
提出隐蔽提示注入攻击 LLM 钓鱼检测器,并给出防御 InjectDefuser
Published Feb 5
Evaluated models OpenAI GPT-5 , xAI Grok 4 Fast (Non-Reasoning) , Meta Llama 4 Maverick and others4 You have reached the end