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Oct 12 · Monday

All papers

Found 7 papers
Filter5

Attack type

Prompt injection7

Defense type

Detection and filtering7Instruction–data separation10Permissions and approval10Monitoring and auditing7

Impact

Unauthorized actions4

System type

LLM applications3AI Agent7coding agent1Multi-agent systems1

Attack surface / entry point

User input13Web pages and interfaces5Documents and messages7Tool responses13Tool and skill descriptions10Inter-agent messages3Distribution channels7

Layer

Application layer7

System component

Guardrails and judges4
Select any value within a category; different categories must all match. Counts include the other filters you have selected.Another 248papers have no tags yet and are not included in filtered results.
Defense type：Detection and filteringSystem type：AI AgentSystem type：coding agentSystem type：Multi-agent systemsAttack surface / entry point：Documents and messagesClear all

Another 248papers do not have category tags yet and are not included in filtered results.

  1. DefensesarXiv 2609.30657

    研究者提出面向邮件 Agent 的攻击链建模提示注入检测框架

    提出面向邮件 Agent 的攻击链提示注入检测框架

    arXiv
    2609.30657
    Published
    Layer
    Application layer
    Setting
    AI Agent
    Evaluated models
    Proposed framework
    Abstract攻击链与动作一致性融合改善了严格检测的平均 F1，但迁移、误报和攻击召回仍需分别看。

    这是一项邮件智能体提示注入防御的离线建模与评测研究：作者把攻击文本是否恶意、攻击是否推进到工具操作、最终参数是否达标分开处理。

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  2. AttacksarXiv 2609.22510

    特拉维夫大学提出爆炸性提示词：条件触发的间接提示注入可绕过九款生产 Agent

    提出条件触发的爆炸提示词，并设计摄入期检测器 DeFuse

    arXiv
    2609.22510
    Published
    Layer
    Application layer
    Setting
    AI Agent
    Evaluated models
    Llama-3.1-8B-Instruct, Llama-3.1-70B-Instruct, Qwen2.5-32B-Instruct and others15
    Abstract论文揭示了条件触发使提示注入绕过防御并在触发时执行工具，提出轻量检测器并在摄入期有效防范。

    论文针对大语言模型智能体面临的间接提示注入威胁，研究了利用条件句式实现时间分离的爆炸提示词。

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  4. AttacksarXiv 2607.06595

    When Agents Remember Too Much: Memory Poisoning Attacks against Large Language Model Agents

    Proposed GhostWriter memory poisoning, which writes into the agent's long-term memory via email and calendar and activates across sessions

    arXiv
    2607.06595
    Published
    Layer
    Application layer
    Setting
    AI Agent
    Evaluated models
    GPT-5.4-mini, DeepSeek-V4-Flash, Gemini-2.5-Flash and others4
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  5. 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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  6. DefensesarXiv 2603.04474

    从火花到烈火：建模并缓解基于 LLM 的多智能体协作中的错误级联

    提出谱系图治理层抑制多智能体协作的错误级联

    arXiv
    2603.04474
    Published
    Layer
    Application layer
    Setting
    Multi-agent systems
    Abstract单一种子可沿固定协作图固化为错误共识。

    作者把 LLM-MAS 中“小错变成集体错误共识”做成图上的可测传播，并用只改消息、不改拓扑的插件压低最终感染。

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  7. Evaluation and benchmarksarXiv 2510.01354

    WAInjectBench 系统评测网页 Agent 的提示注入检测方法

    提出 WAInjectBench 评测网页 Agent 的提示注入检测

    arXiv
    2510.01354
    Published
    Layer
    Application layer
    Setting
    web agent
    Evaluated models
    GPT-4o, Mistral-7B-Instruct-v0.1, Llama-Prompt-Guard-2-86M and others8
    AbstractWAInjectBench 比较网页智能体的提示注入检测：显式线索可被部分检出，隐蔽攻击大多漏检。

    WAInjectBench 是网页智能体提示注入检测的基准。作者要看现有检测器能否发现这类攻击：攻击者改网页，使智能体执行目标动作，而不是用户任务。作者称这是首个此类综合基准。

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