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English(EN) ReCast: Contract-Preserving Protection for Fixed-Interface Multimodal Reasoning

ReCast框架保护多模态推理中的敏感数据

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了ReCast，一个旨在保护多模态推理任务中敏感信息的新型框架。该插件系统将输入转换为共享文本记录，使用一个精炼的4B模型进行内容重写，并采用一个本地可逆的数值映射进行值替换。ReCast旨在保留远程推理的好处，同时显著减少源内容的暴露，在ChartQA和NMSQA数据集上实现了75.10%的准确率。 AI

影响 引入了一种方法，能够安全地使用强大的远程多模态模型处理敏感数据。

排序理由 详细介绍AI模型中数据保护新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

ReCast框架保护多模态推理中的敏感数据

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详细介绍AI模型中数据保护新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Bingchen Pei, Lichong Chen, Bingxi Zhao, Ziang Wu, Sirui Wang, Min Zhang, Yanhao Chen, Qingxu Liu, Qiang Gao, Chang-Tien Lu, Bo Gao ·

    ReCast：面向固定接口的多模态推理的合同保护

    arXiv:2610.01184v1 Announce Type: cross Abstract: Remote multimodal models offer strong numerical reasoning capabilities over charts and speech, but sending private inputs risks exposing sensitive content. Text-only sanitization cannot directly satisfy fixed media interfaces, whi…

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