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Oct 12 · Monday

All papers

Found 2 papers
Filter4

Impact

Output manipulation2

Attack surface / entry point

User input7Documents and messages2Memory writes0Images, audio and video11Training data5Weights and gradients5Distribution channels3Inference services and hardware3

Layer

Model layer2Application layer32
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Impact：Output manipulationAttack surface / entry point：Documents and messagesAttack surface / entry point：Memory writesLayer：Model layerClear all

Another 261papers do not have category tags yet and are not included in filtered results.

  2. Evaluation and benchmarksarXiv 2607.24177

    EXE-Bench：为真实可用性对 AI Windows 恶意软件检测器进行权衡排名

    提出 EXE-Bench 比较 Windows 恶意软件检测器的可用性权衡

    arXiv
    2607.24177
    Published
    Layer
    Model layer
    Setting
    Models and APIs
    Evaluated models
    EmberGBDT, BBDnn, BBDnnFDRS and others15
    Abstract统一四指标后，手工特征的 EmberGBDT 综合居首，只看准确率会误导部署。

    EXE-Bench 用同一设置给 AI Windows 恶意软件检测器做四指标排序，而不是只比一次测试集准确率。。

    Paper analysisRead analysis
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