Search Results for author: Benoit Chevallier-Mames

Found 2 papers, 2 papers with code

Deep Neural Networks for Encrypted Inference with TFHE

1 code implementation13 Feb 2023 Andrei Stoian, Jordan Frery, Roman Bredehoft, Luis Montero, Celia Kherfallah, Benoit Chevallier-Mames

Fully homomorphic encryption (FHE) is an encryption method that allows to perform computation on encrypted data, without decryption.

Privacy Preserving

Privacy-Preserving Tree-Based Inference with TFHE

1 code implementation13 Feb 2023 Jordan Frery, Andrei Stoian, Roman Bredehoft, Luis Montero, Celia Kherfallah, Benoit Chevallier-Mames, Arthur Meyre

Privacy enhancing technologies (PETs) have been proposed as a way to protect the privacy of data while still allowing for data analysis.

Privacy Preserving

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