Skip to content

Translation in progress Some entries still include text in the original language.

Oct 12 · Monday

All papers

Found 2 papers
Filter6

Attack type

Jailbreaks3Prompt injection31Poisoning and backdoors45Model tampering4Extraction and theft2

Attack surface / entry point

User input41Retrieval corpus3Memory writes1Inter-agent messages3Images, audio and video3Training data1Weights and gradients5

Layer

Prompt layer0Model layer1Application layer1Training and data layer6
Select any value within a category; different categories must all match. Counts include the other filters you have selected.Another 230papers have no tags yet and are not included in filtered results.
Attack type：Extraction and theftAttack surface / entry point：Memory writesAttack surface / entry point：Training dataLayer：Prompt layerLayer：Model layerLayer：Application layerClear all

Another 230papers do not have category tags yet and are not included in filtered results.

  1. DefensesarXiv 2610.04426

    UnAct：无需梯度的定向激活干预实现类别遗忘

    提出 UnAct，仅以前向激活干预从分类器中遗忘指定类别

    arXiv
    2610.04426
    Published
    Layer
    Model layer
    Setting
    Models and APIs
    Evaluated models
    ResNet-18, ViT-B/16
    AbstractUnAct 用前向激活做类别遗忘。

    UnAct 是一种事后类别遗忘：删除请求可以只有少量该类图像，且没有标签和保留数据。它不用梯度，只对遗忘图像做前向。编辑对象是分类器所读的后期单元。

    Paper analysisRead analysis
  2. Evaluation and benchmarksarXiv 2608.03272

    多智能体协同过滤系统的连接性攻击与防御研究

    复现 AgentCF 上的多智能体攻防并刻画连通性作用

    arXiv
    2608.03272
    Published
    Layer
    Application layer
    Setting
    Multi-agent systems
    Evaluated models
    Qwen3-235B-A22B, Claude Haiku 4.5, Mixtral 8×7B and others4
    Abstract连通性沿 k 与ρ改变攻防，且用户/物品与早期/稳态需要分开看。

    作者在 AgentCF 上研究连通性如何改变多智能体协同过滤的攻防，复现已有方法而不是提出新载荷。

    Paper analysisRead analysis
You have reached the end