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Oct 12 · Monday

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Found 2 papers
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Output manipulation2

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Model layer2Application layer23

System component

Memory1Guardrails and judges3Fine-tuning and open weights3Vision14Audio5Video4Image generation6Embeddings1Multimodal25
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Impact：Output manipulationLayer：Model layerSystem component：MemorySystem component：EmbeddingsClear all

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

  1. Evaluation and benchmarksarXiv 2609.39473

    FAME：用反事实推理评测自主智能体的虚假记忆

    提出 FAME，用反事实概念漂移评测智能体虚假记忆

    arXiv
    2609.39473
    Published
    Layer
    Model layer
    Setting
    Models and APIs
    Evaluated models
    Llama-3B
    AbstractFAME 用反事实引起的隐状态概念漂移，在出答案前区分忠实记忆与虚假记忆。

    FAME 是一个免训练的评测框架，用来判断自主智能体的记忆在虚假相关、环境偏移或知识冲突下是否已变成虚假记忆。。

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  2. DefensesarXiv 2607.14737

    GeoDetect：面向视觉语言预训练模型的几何对抗检测方法

    提出 GeoDetect 以几何分数检测视觉语言预训练模型的对抗样本

    arXiv
    2607.14737
    Published
    Layer
    Model layer
    Setting
    Models and APIs
    Attacker
    White-box
    Evaluated models
    CLIPViT (ViT-B/16), CLIPCNN (ResNet-50), ALBEF and others4
    AbstractGeoDetect 用几何分数检测 VLP 对抗样本。

    GeoDetect 是面向视觉-语言预训练模型的对抗样本检测方法，用嵌入几何而不是任务 logits 区分干净样本与对抗样本。

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