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Oct 13 · Tuesday

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Found 2 papers
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Attack type

Jailbreaks8Poisoning and backdoors5Extraction and theft5Detection evasion2

System type

Models and APIs2coding agent0Multi-agent systems0
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Attack type：Detection evasionSystem type：Models and APIsSystem type：coding agentSystem type：Multi-agent systemsClear all

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  1. Analysis and theoryarXiv 2610.00417

    研究：合成数据溯源识别在改写后准确率大幅下降

    检验合成数据来源识别是否等于再训练适配筛选

    arXiv
    2610.00417
    Published
    Layer
    Prompt layer
    Setting
    Models and APIs
    Evaluated models
    Qwen2.5-3B-Instruct, DistilRoBERTa, word TF-IDF logistic regression and others5
    Abstract来源识别在原文上准确，改写后精确归因下降。

    作者在金融风险文本上把来源识别和训练样本是否有用拆成两次测量，并写明这不是电信部署实验。

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  2. Analysis and theoryarXiv 2609.33898

    研究揭示训练效率与模型脆弱性的权衡：高效训练更易受对抗与隐私攻击

    比较高效与高成本训练的对抗和隐私脆弱性并分析损失几何

    arXiv
    2609.33898
    Published
    Layer
    Training and data layer
    Setting
    Models and APIs
    Evaluated models
    ResNet-18, Swin Transformer, Qwen2.5-Math-7B-Instruct and others7
    Abstract效用匹配下，三种高效训练都伴随更高的隐私与对抗脆弱性及更尖的损失几何。

    作者在视觉分类和数学推理语言模型上，检查用更少数据或更简对齐换取训练效率时，安全性质是否一起变化。比较在任务效用接近的前提下进行。视觉侧用 KNN-Shapley 的高重要性小子集对照低重要性大子集，并用预训练微调对照从头训练。

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