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New mmFHE system enables mmWave sensing under full homomorphic encryption

By PulseAugur Editorial · [1 sources] ·

Researchers have developed mmFHE, a novel system enabling end-to-end mmWave sensing pipelines to operate entirely under fully homomorphic encryption (FHE). This system encrypts data on edge devices and processes it on a cloud server, ensuring input privacy and data obliviousness. mmFHE includes a library of FHE kernels for digital signal processing and machine learning inference, demonstrating feasibility for tasks like vital-sign monitoring and gesture recognition with minimal accuracy loss. AI

IMPACT Enables private processing of sensitive sensor data, potentially accelerating adoption of AI in privacy-critical applications.

RANK_REASON The cluster contains an academic paper detailing a new system and its technical feasibility. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New mmFHE system enables mmWave sensing under full homomorphic encryption

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12 / 100
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The cluster contains an academic paper detailing a new system and its technical feasibility. [lever_c_demoted from research: ic=1 ai=1.0]
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paper, infra, safety
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COVERAGE [1]

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

    mmFHE: mmWave Sensing with End-to-End Fully Homomorphic Encryption

    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…

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