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English(EN) MOSAIC: Masked Outsourcing of Secure AI Computations

MOSAIC协议支持安全地外包人工智能计算

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了MOSAIC，一种用于安全外包人工智能计算的新型协议。该方法使用矩阵乘法掩码技术，引入了最小的噪声，从而能够高效处理像transformer这样的大型AI模型。MOSAIC显著降低了客户端的开销，并提供了比以往方法快几个数量级的运行时间，其安全性基于LWE和LPN假设。一项实现证明了其在数据中心进行机密AI处理的潜力，保持了可信计算基础的小型化，同时将繁重的计算任务卸载到不可信的硬件上。 AI

影响 通过安全地将工作负载外包给不可信服务器，实现机密的人工智能计算。

排序理由 该集群包含一篇详细介绍AI计算新方法的学术论文。[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 →

MOSAIC协议支持安全地外包人工智能计算

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该集群包含一篇详细介绍AI计算新方法的学术论文。[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) · James Hsin-yu Chiang, Sheila Zingg, Kari Kostiainen, Srdjan Capkun ·

    MOSAIC：安全人工智能计算的掩码外包

    arXiv:2607.29221v1 Announce Type: cross Abstract: We address the challenge of securely and efficiently outsourcing AI computations from a trusted but computationally weak client to an untrusted but powerful server, in the setting where the client holds both the input and the mode…

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