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English(EN) mmFHE: mmWave Sensing with End-to-End Fully Homomorphic Encryption

新的mmFHE系统可在全同态加密下实现毫米波传感

研究人员开发了mmFHE,一个新颖的系统,能够使端到端的毫米波传感管道完全在全同态加密(FHE)下运行。该系统在边缘设备上加密数据,并在云服务器上进行处理,确保输入隐私和数据不可知性。mmFHE包含一个用于数字信号处理和机器学习推理的FHE内核库,证明了在生命体征监测和手势识别等任务中具有可行性,且准确性损失极小。 AI

影响 实现了敏感传感器数据的私有处理,可能加速AI在隐私关键型应用中的采用。

排序理由 该集群包含一篇详细介绍新系统及其技术可行性的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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

新的mmFHE系统可在全同态加密下实现毫米波传感

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该集群包含一篇详细介绍新系统及其技术可行性的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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完整方法见我们的编辑标准

报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Tanvir Ahmed, Yixuan Gao, Adnan Armouti, Rajalakshmi Nandakumar ·

    mmFHE:采用端到端全同态加密的毫米波传感

    arXiv:2603.22437v2 Announce Type: replace-cross Abstract: We present mmFHE, the first system that executes the entire cloud-side mmWave sensing pipeline including the DSP and ML inference under fully homomorphic encryption (FHE). mmFHE encrypts range profiles on an edge device af…