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Oct 12 · Monday

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Found 2 papers
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Impact

Harmful content7Data and privacy leaks4Output manipulation12Availability and reliability2Increased misuse capability0

Layer

Model layer3Application layer6Training and data layer2

System component

Memory0Fine-tuning and open weights4Multimodal2
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Impact：Availability and reliabilityImpact：Increased misuse capabilityLayer：Training and data layerSystem component：MemorySystem component：MultimodalClear all

Another 233papers do not have category tags yet and are not included in filtered results.

  1. AttacksarXiv 2610.09819

    FAB 攻击：给 HuBERT/WavLM 植入后门，背景警笛声即可让下游语音任务失灵

    提出 FAB 攻击，向声学基础模型植入可由环境声触发的后门

    arXiv
    2610.09819
    Published
    Layer
    Training and data layer
    Setting
    Models and APIs
    Evaluated models
    HuBERT-base, WavLM-base

    Abstract论文提出了针对声学基模的 FAB 后门攻击，在弱威胁模型下实现了任务无关、物理可触发的后门植入。

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  2. DefensesarXiv 2610.04616

    PerturBot 用扰动训练打破视觉-语言-动作模型的模态捷径

    提出 Perturbot 扰动训练，打破 VLA 的模态捷径

    arXiv
    2610.04616
    Published
    Layer
    Training and data layer
    Setting
    Embodied systems and robotics
    Evaluated models
    π0.5
    AbstractPerturbot 改训练数据以削弱三类模态捷径，GroundFscore 用来看成功是否来自任务证据。

    Perturbot 是一套不改推理的 VLA 训练期数据干预，用来削弱模态捷径，并用离线分数区分“任务变好”和“靠捷径变好”。

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