mmFHE: mmWave Sensing with End-to-End Fully Homomorphic Encryption
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 after lightweight plaintext preprocessing and executes the entire mmWave signal-processing and ML inference pipeline homomorphically on a semi-honest cloud that operates exclusively on ciphertexts. At the core of mmFHE is a library of seven composable, data-oblivious FHE kernels that replace standard DSP routines with fixed arithmetic circuits for different application-specific pipelines. We demonstrate this approach on two representative tasks: vital-sign monitoring and g...
| Authors | Tanvir Ahmed, Yixuan Gao, Adnan Armouti et al. |
|---|---|
| Primary category | cs.CR |
| Published | 23 March 2026 |
| Last updated at source | 10 September 2026 |
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