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Oct 13 · Tuesday

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  1. AttacksarXiv 2609.37468

    论文提出针对 Agentic RAG 的检索器后门攻击与 DOU 隐藏方法

    提出检索器后门攻击操纵智能体搜索,并用 DOU 逃避检测

    Published
    Setting
    AI Agent
    Evaluated models
    E5, Contriever-MSMARCO

    Abstract论文展示了通过恶意检索器操纵智能体多轮搜索并利用诱饵重塑表征隐蔽后门的可行性与系统风险。

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  2. AttacksarXiv 2609.02774

    CodePoisonRAG:针对检索增强代码生成的知识投毒攻击

    提出 CodePoisonRAG,对检索增强代码生成的知识库投毒以植入漏洞

    Published
    Evaluated models
    Qwen 3.5 9B, Code Llama 13B, DeepSeek-Coder-V2 16B

    AbstractCodePoisonRAG 展示了 RACG 外部知识库的新攻击面,在较低投毒率下可定向诱发指定漏洞并部分抵御防御。

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  3. AttacksarXiv 2603.17239

    LAAF: A Systematic Red-Teaming Method and Automated Attack Framework for LPCI Vulnerabilities in Agentic LLM Systems

    Proposes LAAF, which automatically attacks LPCI vulnerabilities in agent systems in stages

    Published
    Setting
    AI Agent
    Evaluated models
    gemini-2.0-flash-001, claude-3-haiku-20240307, meta-llama/llama-3.1-70b-instruct and others5
    AbstractLAAF does LPCI red teaming with taxonomy plus stage seeding.

    The authors state that LAAF is an automated red-teaming framework built specifically for LPCI in agentic LLMs. The issue to address is that encoded, delayed, and conditionally triggered payloads can persist in memory or RAG and re-enter across sessions, whereas Garak and PyRIT do not use the previous round's breakthrough results to seed the next stage across the six stages.

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  4. AttacksarXiv 2602.15654

    Zombie Agent: Persistent Control of Self-Evolving LLM Agents via Self-Reinforcing Injection

    提出 Zombie Agent 攻击,经网页间接注入将载荷写入长期记忆并跨会话触发

    Published
    Setting
    AI Agent
    Evaluated models
    Gemini-2.5-Flash, GLM-4.7-Flash
    Abstract记忆写入把一次网页间接注入变成跨会话控制。

    Zombie Agent 把自进化 LLM 智能体的跨会话记忆当成攻击面:攻击者只发布网页,良性任务读入后,正常记忆更新留下载荷,并在以后无关会话里触发未授权工具行为。

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  5. AttacksarXiv 2512.01335

    EmoRAG 研究揭示 RAG 检索对表情符号扰动的脆弱性

    提出 EmoRAG,向查询与知识库注入同一表情以劫持 RAG 检索

    Published
    Evaluated models
    SPECTER, Contriever, Qwen2-7B and others11
    AbstractEmoRAG 用表情联动查询与库文本。

    EmoRAG 测量 RAG 对符号扰动的反应:同一表情同时出现在查询和库文本里时,检索会偏离语义匹配。作者要检查的是,检索是否真由语义相关性决定。

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  6. AttacksarXiv 2507.10457

    论文提出 LPCI:针对 Agent 逻辑层与持久记忆的提示控制注入攻击

    提出 LPCI,把延迟条件载荷写入记忆与检索库以跨会话触发

    Published
    Setting
    AI Agent
    Evaluated models
    ChatGPT, Claude, LLaMA3 and others8
    Abstract作者定义 LPCI。

    作者把LPCI定义为针对智能体逻辑执行、记忆留存和工具集成的跨阶段漏洞类,而不是单次输入上的提示改写。

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