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Oct 12 · Monday

All papers

Found 4 papers
Filter6

Defense type

Detection and filtering4Instruction–data separation3Permissions and approval1

Impact

Unauthorized actions19Output manipulation4

Attack surface / entry point

Documents and messages2Code repositories and dependencies1Memory writes1

Layer

Application layer4
Select any value within a category; different categories must all match. Counts include the other filters you have selected.Another 232papers have no tags yet and are not included in filtered results.
Defense type：Instruction–data separationDefense type：Permissions and approvalImpact：Output manipulationAttack surface / entry point：Documents and messagesAttack surface / entry point：Code repositories and dependenciesAttack surface / entry point：Memory writesClear all

Another 232papers do not have category tags yet and are not included in filtered results.

  1. DefensesarXiv 2610.11634

    LTBD：用可学习信任边界分隔符防御提示注入

    提出 LTBD，用可学习分隔符隔离可信指令与不可信数据

    arXiv
    2610.11634
    Published
    Layer
    Application layer
    Setting
    LLM applications
    Evaluated models
    Llama3-8B-Instruct, Llama3.1-8B-Instruct, Falcon3-7B-Instruct and others4
    AbstractLTBD 只训练四个分隔符嵌入。

    LTBD 是一种不改基座权重的提示注入防御：只学习用来标出可信指令与不可信数据边界的四个 token 嵌入。

    Paper analysisRead analysis
  2. DefensesarXiv 2609.31282

    基于区块链的 Agentic AI 框架：面向安全软件供应链的资源优化与能耗感知

    提出 AttestChain，将供应链安全智能体报告签名上链并据此控制发布

    arXiv
    2609.31282
    Published
    Layer
    Application layer
    Setting
    Multi-agent systems
    Evaluated models
    GPT-class LLM
    AbstractAttestChain 将智能体报告与链上发布门控结合，现有证据来自受控合成构建的总体结果。

    AttestChain 是一个把 LLM 安全检查、智能体身份验证和许可链发布策略连接起来的软件供应链防御框架。。

    Paper analysisRead analysis
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