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Oct 12 · Monday

All papers

Found 2 papers
Filter3

Defense type

Inference-time intervention3Detection and filtering3Instruction–data separation2Permissions and approval5Monitoring and auditing41

Layer

Application layer2

System component

MCP and skills12Memory10Monitors2Permissions and sandboxing23Vision3Multimodal3
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Defense type：Instruction–data separationLayer：Application layerSystem component：MonitorsClear all

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  1. DefensesarXiv 2609.19587

    红队测试 Auto Mode：用注入与多上下文攻击绕过编码 Agent 阻断监控器

    提出 Auto Mode ++，加固编码 Agent 阻断监视器

    arXiv
    2609.19587
    Published
    Layer
    Application layer
    Setting
    coding agent
    Evaluated models
    Opus 5, Opus 4.8, Opus 4.7 and others8

    Abstract系统评估生产阻断监视器在面对持续恶意智能体时的表现，提出加固防御并指明多上下文防御挑战。

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  2. DefensesarXiv 2601.05755

    VIGIL: defending LLM agents against tool-flow injection with "verify before submit"

    提出 VIGIL 先验证后提交，防御 Agent 工具流注入

    arXiv
    2601.05755
    Published
    Layer
    Application layer
    Setting
    AI Agent
    Evaluated models
    Qwen3-max, Gemini-2.5-pro
    AbstractVIGIL 用意图约束下的提交前验证处理工具流注入。

    VIGIL 用 verify-before-commit 处理智能体的工具流注入，并配有基准 SIREN。

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