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Oct 12 · Monday
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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.
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提出 ZoneClaw，用记忆分区防御计算机使用 Agent 的持久记忆攻击
Published Oct 1
Evaluated models Claude Sonnet 4.6 , GPT-5.5 , GLM-5.2 and others4 梳理自主 Agent 威胁并提出全生命周期防御蓝图 FASA
Published Mar 13 Abstract 以 OpenClaw 为例划分三层风险，并用 FASA 描述从输入到系统执行的防御。这是一份以 OpenClaw 为案例的威胁梳理和防御架构报告，不是带分数的攻击或防御评测。
提出对齐五阶段的纵深防御，缓解自主 Agent 跨阶段威胁
Published Mar 12 Abstract 这是对 OpenClaw 的生命周期威胁分析与分层缓解设计，案例为定性证据。这是对 OpenClaw 的生命周期威胁分析，并配套一套分层缓解设计。要处理的问题是：自主智能体把即时通讯、持久记忆、第三方插件和高权限执行连在一起之后，攻击不再限于单轮越狱，而会跨初始化到执行的多个阶段复合。作者认为只加固单个接口的防御，挡不住这种跨时间攻击。
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