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Oct 12 · Monday

All papers

Found 9 papers

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  1. AttacksarXiv 2610.04589

    StegoMemory red team testing: agent persistent memory can be used as a cross-session covert channel

    提出 StegoMemory,评测智能体持久记忆作为跨会话隐写信道

    Published
    Setting
    AI Agent
    Evaluated models
    Llama 3.1 405B, Claude 3.5 Sonnet, GPT-4o and others13

    Abstract研究揭示智能体持久记忆可作为隐蔽信道跨会话传输机密,写入持久化是主要防御瓶颈,呼吁建立记忆完整性防御。

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  2. AttacksarXiv 2609.19722

    ALIBI:向二进制注入虚假安全叙事可让 LLM 恶意软件分析器误判

    提出 ALIBI,向恶意二进制注入不执行掩护叙事使分析器误判为良性

    Published
    Attacker
    Black-box
    Evaluated models
    Gemini 2.5 Pro, GPT-5.5 Pro, Claude Opus 4.7
    AbstractALIBI 用二进制内的掩护叙事重释可疑静态证据,Gemini 上翻转多,另两模型主要为降级。

    ALIBI 是针对 LLM 恶意软件分诊的语义掩护叙事攻击:不覆盖系统指令,而把仍可见的可疑静态证据重释成良性安全产品的预期行为。

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  3. AttacksarXiv 2605.24421

    研究者提出日志型提示注入攻击,可抑制 SOC 中 LLM 分析助手的恶意日志识别

    提出日志基底提示注入,操纵 SOC 分析员的分类、摘要与处置建议

    Published
    Evaluated models
    gpt-4o-mini

    Abstract在 gpt-4o-mini 上,人格劫持与上下文操纵可改写 SOC 分析输出,直接覆盖在分类上无效。

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  4. 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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  5. AttacksarXiv 2602.18514

    招聘中的特洛伊木马:标准模型与推理模型间接提示注入的红队测试案例研究

    用简历中的不可见指令做间接提示注入,操纵招聘推荐

    Published
    Evaluated models
    Qwen 3 30B A3B Instruct 2507, Qwen 3 30B A3B Thinking 2507

    Abstract作者称推理在简单注入下会帮攻击圆谎,在不合逻辑的复杂注入下又会把欺骗漏出来。

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  6. AttacksarXiv 2601.21360

    Compliance Paradox: Semantic-Instruction Decoupling in Automated Academic Code Evaluation

    提出 AST-ASIP ,把对抗指令植入编译器忽略区域以劫持代码评分

    Published
    Evaluated models
    DeepSeek-V3.2, Qwen3-235B, GPT-OSS-120B and others9
    Abstract作者称 RLHF 的服从性使评分脱离代码。

    这篇工作把自动代码评分中的失败称为 Compliance Paradox:评分模型可以离开提交逻辑,转而执行嵌在可编译代码里的隐藏指令。

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  7. 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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