most citedDeep Neural Networks for Encrypted Inference with TFHE

2 citations · 3 across the 2 of their papers we have counts for

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cs.CR2024★ 1 cited

Neural Network Training on Encrypted Data with TFHE

Luis Montero, Jordan Frery, Celia Kherfallah +2

We present an approach to outsourcing of training neural networks while preserving data confidentiality from malicious parties. We use fully homomorphic encryption to build a unifi…

cs.CR2023

Privacy-Preserving Tree-Based Inference with TFHE

Jordan Frery, Andrei Stoian, Roman Bredehoft +4

Privacy enhancing technologies (PETs) have been proposed as a way to protect the privacy of data while still allowing for data analysis. In this work, we focus on Fully Homomorphic…