privacy-preserving deep learning inference

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papersTODAY 04:00 UTC

EI-DDLGN: Encrypted Inference with Differentiable Logic Gate Networks under TFHE

A new arXiv preprint introduces EI-DDLGN, a framework for privacy-preserving deep learning inference built on Torus Fully Homomorphic Encryption (TFHE). The authors note that most existing TFHE-compatible neural network designs rely on arithmetic neurons, and their approach instead uses deep differentiable logic gate networks to improve efficiency. The work targets outsourced inference scenarios where sensitive input data must stay encrypted.

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