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Oct 12 · Monday

All papers

Found 8 papers
Filter3

Attack type

Prompt injection7

Defense type

Model hardening8Inference-time intervention7Detection and filtering23Instruction–data separation13Permissions and approval10Monitoring and auditing8Watermarking and provenance12

Impact

Unauthorized actions6

System type

AI Agent8

Attack surface / entry point

User input18Web pages and interfaces6Documents and messages7Tool responses14Tool and skill descriptions5Images, audio and video1Weights and gradients3Distribution channels5

Layer

Application layer7

System component

Monitors5
Select any value within a category; different categories must all match. Counts include the other filters you have selected.Another 265papers have no tags yet and are not included in filtered results.
Defense type：Monitoring and auditingAttack surface / entry point：Documents and messagesAttack surface / entry point：Images, audio and videoClear all

Another 265papers do not have category tags yet and are not included in filtered results.

  2. DefensesarXiv 2610.09793

    用时序逻辑监控工具 Agent

    提出 MFOTL 离线时序验证以监控工具 Agent 的危险动作链

    arXiv
    2610.09793
    Published
    Layer
    Application layer
    Setting
    AI Agent
    Attacker
    Black-box
    Abstract形式化验证可有效识别多步攻击，但其有效性高度依赖轨迹的可信历史记录。

    这篇论文对工具调用大语言模型智能体的安全监控进行了形式化时序验证研究。

    Paper analysisRead analysis
  3. DefensesarXiv 2610.05163

    Researchers construct segmented prompt injection on Claude Code and Codex and release a boundary action audit benchmark

    提出 PAA 方法，在边界动作前审计长流程智能体的分阶段提示注入

    arXiv
    2610.05163
    Published
    Layer
    Application layer
    Setting
    coding agent
    Evaluated models
    Claude Code (v2.1.172, Claude Sonnet 5), Codex CLI (v0.144.0, GPT-5.5)
    Abstract论文针对长流程注入提出边界动作审计与 PAA，在保持低误阻的同时实现高拦截率。

    本研究针对长流程智能体在执行任务时面临的分阶段间接提示注入威胁，提出了在动作生效前进行拦截的边界动作审计框架与路径对齐归因方法。

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  7. DefensesarXiv 2605.17380

    Uber proposes ADR enterprise-level agent detection system, deployed on 7,200 hosts for ten months

    提出企业级检测系统 ADR，识别编程 Agent 的提示注入与恶意 MCP

    arXiv
    2605.17380
    Published
    Layer
    Application layer
    Setting
    coding agent

    Abstract提出了端点因果遥测、两级在线分流与离线红队闭环的 ADR 系统，并在生产环境中验证了有效性。

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  8. DefensesarXiv 2602.20708

    ICON：基于推理时纠正的 Agent 间接提示注入防御

    提出推理时防御 ICON，探测注意力过聚焦并转向以纠正 Agent 间接提示注入

    arXiv
    2602.20708
    Published
    Layer
    Application layer
    Setting
    AI Agent
    Evaluated models
    Qwen-3-8B, Llama-3.1-8B, Mistral-8B and others6
    AbstractICON 在推理时检测过聚焦并转向，以兼顾 IPI 安全与任务效用。

    ICON 在推理时检测 IPI 的注意力过聚焦并转向，避免以拒答中止智能体轨迹。

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