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Oct 12 · Monday
Another 233 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.
评测 Agent 记忆系统的软撤回执行情况,并提出陈旧检索防护
Published Sep 8
Evaluated models GPT-5.5 , Grok-4 , DeepSeek-V4-Flash and others9 Abstract 系统揭示了记忆系统软撤回在检索时普遍未执行的安全漏洞,证明写回会击穿现有防御,并提出读取端防护作为必要控制手段。
形式化并评测共享状态 Agent 的无意跨用户污染
Published Apr 2
Evaluated models GPT-4o Abstract 作者报告良性交互即可造成跨用户污染,文本清洗挡不住代码记忆。UCC 是共享状态 LLM 智能体上的稳健性问题:源交互可以是良性的,局部有效的制品仍会在后来被误用到其他用户。
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