Search Results for author: Roman Bredehoft

Found 3 papers, 2 papers with code

Neural Network Training on Encrypted Data with TFHE

no code implementations29 Jan 2024 Luis Montero, Jordan Frery, Celia Kherfallah, Roman Bredehoft, Andrei Stoian

We present an approach to outsourcing of training neural networks while preserving data confidentiality from malicious parties.

regression

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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