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Oct 12 · Monday

All papers

Found 50 papers
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Attack type

Jailbreaks7Prompt injection40Poisoning and backdoors18

Attack technique

Automated search21Encoding and obfuscation6Defense-targeted6Dormant triggers19

Impact

Harmful content5Unauthorized actions21Data and privacy leaks7Output manipulation16

System type

Models and APIs3AI Agent46coding agent3Multi-agent systems3

Attacker access

Black-box6White-box3

Attack surface / entry point

User input206Web pages and interfaces21Documents and messages30Tool responses35Tool and skill descriptions34Code repositories and dependencies18Retrieval corpus22Memory writes16Inter-agent messages10Images, audio and video78Training data27Weights and gradients47Distribution channels40Inference services and hardware13

Layer

Application layer48

System component

MCP and skills8Memory20RAG3Guardrails and judges3Permissions and sandboxing4
Select any value within a category; different categories must all match. Counts include the other filters you have selected.Another 254papers have no tags yet and are not included in filtered results.
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Another 254papers do not have category tags yet and are not included in filtered results.

  1. AttacksarXiv 2610.12292

    The paper proposes an option channel attack: changing one option label can make an agent guardrail allow a prohibited operation

    Proposing an option channel attack that renames option labels so that agent guardrails allow prohibited operations

    arXiv
    2610.12292
    Published
    Layer
    Application layer
    Setting
    LLM applications
    Attacker
    Black-box
    Evaluated models
    LAYA-TD, LAYA-EN, LAYA-ML and others5

    AbstractThe authors' evaluation indicates that typed models should not serve as final safety arbiters; they are susceptible to off-policy text and option name manipulation, and confidence filtering cannot resist attacks.

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  3. AttacksarXiv 2610.08951

    ASPIRE：面向 LLM Agent 的开放式提示注入红队引擎

    提出 ASPIRE 行为图搜索，开放式发现 Agent 提示注入漏洞

    arXiv
    2610.08951
    Published
    Layer
    Application layer
    Setting
    AI Agent
    Evaluated models
    Gemini-3.7-Flash, DeepSeek-V4-Flash, Gemini-2.5-flash
    AbstractASPIRE 把提示注入红队从载荷优化改成行为图引导的开放式漏洞发现。

    ASPIRE 是给搭建方用的智能体提示注入红队引擎，目标是开放式画出可利用的行为路径，而不是在固定任务上打磨一条载荷。

    Paper analysisRead analysis
  4. AttacksarXiv 2610.07645

    SkillPoison：用成功经验投毒自进化 Agent 的技能形成

    提出 SkillPoison，用局部有效的成功经验诱导自进化 Agent 形成过度泛化技能

    arXiv
    2610.07645
    Published
    Layer
    Application layer
    Setting
    AI Agent
    Evaluated models
    deepseek-v4-flash, Qwen V3.8 Flash, GPT-5.5
    AbstractSkillPoison 通过局部有效且验证成功的经验诱导技能过度泛化，在多个评测基准上实现了持久的下游攻击影响。

    SkillPoison 提出了一种针对自进化智能体经验到技能形成过程的攻击范式，通过组织已验证的成功经验诱导技能过度泛化。

    Paper analysisRead analysis
  5. AttacksarXiv 2610.04589

    StegoMemory red team testing: agent persistent memory can be used as a cross-session covert channel

    提出 StegoMemory，评测智能体持久记忆作为跨会话隐写信道

    arXiv
    2610.04589
    Published
    Layer
    Application layer
    Setting
    AI Agent
    Evaluated models
    Llama 3.1 405B, Claude 3.5 Sonnet, GPT-4o and others13

    Abstract研究揭示智能体持久记忆可作为隐蔽信道跨会话传输机密，写入持久化是主要防御瓶颈，呼吁建立记忆完整性防御。

    Paper analysisRead analysis
  8. AttacksarXiv 2609.35576

    研究提出跨 LLM 助手的记忆跳跃攻击

    提出跨独立 Agent 的记忆跳跃攻击，经共享工件在助手间自传播

    arXiv
    2609.35576
    Published
    Layer
    Application layer
    Setting
    AI Agent
    Evaluated models
    GPT-5.6 Luna, Kimi-K2.6, GPT-OSS-120B and others6
    Abstract论文证实持久工件与内存可形成跨智能体传播链，揭示了将共享工件纳入安全防线的重要意义。

    该论文系统研究并量化了通过共享持久工件在具有独立私有内存的 LLM 智能体之间发生自传播的“工件介导传播”攻击风险。

    Paper analysisRead analysis
  9. AttacksarXiv 2609.33628

    用课程强化学习对前沿模型做提示注入红队测试

    用跨目标课程强化学习训练提示注入红队，攻破前沿智能体

    arXiv
    2609.33628
    Published
    Layer
    Application layer
    Setting
    AI Agent
    Evaluated models
    GPT-4o-mini, GPT-5-nano, GPT-5.6-Luna and others12
    Abstract提出跨目标模型课程强化学习，攻破前沿模型冷启动瓶颈并实现跨模型迁移。

    该研究针对强化学习自动化提示注入红队在攻击前沿大模型时的冷启动问题，提出了一种基于目标模型鲁棒性递进的课程强化学习方法。

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  11. AttacksarXiv 2609.28613

    研究：提示注入可改变 Jev 决策模型的行动概率

    测量间接提示注入对类型化概率决策的动作劫持

    arXiv
    2609.28613
    Published
    Layer
    Application layer
    Setting
    Models and APIs
    Evaluated models
    jev-1.13.0
    Abstract封闭动作集改变提示注入的表现，但没有去掉概率被不可信内容移动的风险。

    作者在 jev-1.13.0 上研究 decision hijacking：不可信内容能否在用户任务和可选动作都不变时，把类型化决策推向攻击者目标。

    Paper analysisRead analysis
  12. 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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  13. AttacksarXiv 2609.27542

    Researchers use control token injection to delete gpt-oss-20b's reasoning chain and bypass chain-of-thought monitoring

    提出控制标记注入，清空工具 Agent 的思维链以绕过推理监控

    arXiv
    2609.27542
    Published
    Layer
    Application layer
    Setting
    AI Agent
    Evaluated models
    openai/gpt-oss-20b, google/gemma-4-26B-A4B-it, deepseek-ai/DeepSeek-R1-Distill-Qwen-7B and others4

    Abstract论文阐明控制标记注入可抑制 CoT 使监控失效并促成拒绝绕过，且工具执行受解析器宽容度影响。

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  15. AttacksarXiv 2609.18217

    研究：跨通道碎片化攻击可绕过 MCP 单通道防御

    提出跨通道分段攻击，利用 MCP 隐式信任外发敏感文件

    arXiv
    2609.18217
    Published
    Layer
    Application layer
    Setting
    coding agent
    Evaluated models
    GPT-4o, GPT-4o-mini, GPT-5.4 and others15

    Abstract论文揭示了 MCP 多通道隐式信任层级，通过跨通道分段与协议级利用突破现有防御，展示了严重的凭证外发风险。

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  16. AttacksarXiv 2609.11757

    Researchers disclose a Whisper prompt injection attack on the AP2 payment protocol and propose the A-VIP defense

    提出 AP2 支付协议的 Whisper 攻击与 A-VIP 绑定防御

    arXiv
    2609.11757
    Published
    Layer
    Application layer
    Setting
    AI Agent
    Evaluated models
    gemini-2.5-flash-lite, gemini-3.1-flash-lite, gemini-3-flash-preview and others15

    Abstract论文揭示了 AP2 协议决策层受操纵的风险，提出结构化与权能绑定防御 A-VIP，并发布评测基准。

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  20. AttacksarXiv 2608.29381

    Researchers propose five categories of safety failures in agent checkpoint rollback and implement three attacks on Hermes, Cline, and LangGraph

    提出利用检查点回滚破坏 Agent 执行连续性的攻击

    arXiv
    2608.29381
    Published
    Layer
    Application layer
    Setting
    AI Agent

    Abstract论文系统研究了智能体 C/R 的安全性，分析了合法回滚破坏执行连续性的机理，并实证评估了其普遍性与危害。

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