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Oct 12 · Monday

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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

    Published
    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. Sleight-Bench: 20 of 40 attacks were never detected by Opus 4.6 monitoring.

    构建 SLEIGHT-Bench 评测代码智能体监控对概念盲点规避的捕获

    Published
    Evaluated models
    Claude Opus 4.6, Claude Opus 4.7, Claude Sonnet 4.6 and others6

    Abstract评估针对监控盲点的规避基准,发现前沿监控器漏报率高,算力与脚手架虽有提升但存在类别局限。

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  3. 研究者用提示注入攻击监控模型,绕过 AI 控制协议

    提出针对可信监控器的自适应提示注入,绕过 AI 控制协议

    Published
    Evaluated models
    GPT-4o, GPT-4, GPT-4.1 and others4

    Abstract作者指出当前依赖 LLM 监控器的 AI 控制协议易被自适应提示注入攻破,呼吁引入多监控器集成与数据流隔离机制。

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