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Oct 13 · Tuesday

All papers

Found 5 papers
Filter6

Attack type

Prompt injection3

Impact

Harmful content7Unauthorized actions95Data and privacy leaks15Output manipulation21Availability and reliability5

System type

AI Agent5coding agent0web agent2

Attack surface / entry point

User input4Web pages and interfaces3Tool responses2Tool and skill descriptions3Images, audio and video3Distribution channels3

Layer

Application layer5
Select any value within a category; different categories must all match. Counts include the other filters you have selected.Another 215papers have no tags yet and are not included in filtered results.
Impact：Availability and reliabilitySystem type：AI AgentSystem type：coding agentSystem type：web agentAttack surface / entry point：Web pages and interfacesAttack surface / entry point：Tool responsesClear all

Another 215papers do not have category tags yet and are not included in filtered results.

  2. Evaluation and benchmarksarXiv 2610.03448

    Study retests 15 prompt injection detectors: benchmark scores poorly predict agent deployment performance

    重测提示注入检测器在 Agent 工具输出上的检出与任务阻断

    arXiv
    2610.03448
    Published
    Layer
    Application layer
    Setting
    AI Agent
    Evaluated models
    Horizon-Labs, Wolf Defender, Prismor-1.5B and others15

    Abstract论文揭示公开基准无法反映智能体检测器表现，检测能力源于输入格式相似而非通用防御，建议基于工具输出与低误报评测。

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  3. AttacksarXiv 2609.28585

    论文提出持久计费状态概念，揭示工具调用 LLM Agent 的拒绝钱包攻击与防御

    定义工具调用 Agent 的持久计费状态，提出拒绝钱包攻击与防御

    arXiv
    2609.28585
    Published
    Layer
    Application layer
    Setting
    AI Agent
    Evaluated models
    GPT-4o, GPT-4o-mini, Mistral-Large and others7
    Abstract已准入工具返回的跨轮保留会重复计费。

    这篇工作把工具调用智能体里跨轮保留、并被提供商反复计费的外部工具返回定义为 persistent billable state，并把它的主机侧再次送入决定当作控制点。。

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  4. Evaluation and benchmarksarXiv 2609.19140

    AgentLSD：在对抗性任务污染下评测 AI 安全 Agent

    评测安全 Agent 在对抗性任务污染下的解题成功与开销

    arXiv
    2609.19140
    Published
    Layer
    Application layer
    Setting
    web agent
    Evaluated models
    Gemma-4 31B, DeepSeek-V4 Flash, GPT-OSS 120B and others6
    AbstractAgentLSD 用配对 web CTF 表明，欺骗性环境证据会改变安全智能体的解题率与工作量。

    AgentLSD 是一个对照框架，用来测量安全智能体在任务本身不变时，对对抗性任务污染的反应。

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