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Oct 12 · Monday

All papers

Found 3 papers
Filter2

Attack type

Prompt injection3

Model risks

Dangerous agent actions3

Impact

Unauthorized actions3

System type

AI Agent3

Layer

Application layer3
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Attack type：Prompt injectionModel risks：Dangerous agent actionsClear all

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

  1. Risky behaviorarXiv 2609.32616

    Cave-Bench：虚假指控下 LLM 智能体最高 60.06% 的运行会破坏正确工作

    提出 CAVE-BENCH，评测智能体在虚假指责下破坏已完成的正确工作

    arXiv
    2609.32616
    Published
    Layer
    Application layer
    Setting
    coding agent
    Evaluated models
    Claude-Sonnet-5, Claude-Opus-5, GPT-5.6-Sol and others14

    Abstract论文提出了评估智能体在虚假指责下破坏已有正确成果的 CAVE-BENCH，发现强模型易推翻已知证据，提出了门控缓解方案。

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  2. Risky behaviorarXiv 2601.21083

    OpenSec：测量对抗证据下事件响应 Agent 的校准

    提出 OpenSec，评测事件响应 Agent 在对抗证据下的遏制校准

    arXiv
    2601.21083
    Published
    Layer
    Application layer
    Setting
    AI Agent
    Evaluated models
    GPT-5.2, Claude Sonnet 4.5, Gemini 3 and others5
    AbstractOpenSec 以执行评分测 IR 智能体在对抗证据下是否过度遏制，作者称缺口在克制。

    OpenSec 用 dual-control 事件环境测量 IR 智能体在对抗证据下的校准：分数看实际遏制，不看报告文本。

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