Roman Bredehoft

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 8

Top Topics

Neural Network Training

Inference Process

Efficient Learning

Top Venues

IACR Cryptol. ePrint Arch.

Publications

Luis Montero, Jordan Fréry, Celia Kherfallah, Roman Bredehoft, Andrei Stoian
Machine Learning Training on Encrypted Data with TFHE. IWSPA@CODASPY (2024)
Luis Montero, Jordan Fréry, Celia Kherfallah, Roman Bredehoft, Andrei Stoian
Neural Network Training on Encrypted Data with TFHE. CoRR (2024)
Jordan Fréry, Andrei Stoian, Roman Bredehoft, Luis Montero, Celia Kherfallah, Benoît Chevallier-Mames, Arthur Meyre
Privacy-Preserving Tree-Based Inference with Fully Homomorphic Encryption. IACR Cryptol. ePrint Arch. 2023 (2023)
Jordan Fréry, Andrei Stoian, Roman Bredehoft, Luis Montero, Celia Kherfallah, Benoît Chevallier-Mames, Arthur Meyre
Privacy-Preserving Tree-Based Inference with TFHE. MSPN (2023)
Andrei Stoian, Jordan Fréry, Roman Bredehoft, Luis Montero, Celia Kherfallah, Benoît Chevallier-Mames
Deep Neural Networks for Encrypted Inference with TFHE. CoRR (2023)
Jordan Fréry, Andrei Stoian, Roman Bredehoft, Luis Montero, Celia Kherfallah, Benoît Chevallier-Mames, Arthur Meyre
Privacy-Preserving Tree-Based Inference with Fully Homomorphic Encryption. CoRR (2023)
Andrei Stoian, Jordan Fréry, Roman Bredehoft, Luis Montero, Celia Kherfallah, Benoît Chevallier-Mames
Deep Neural Networks for Encrypted Inference with TFHE. IACR Cryptol. ePrint Arch. 2023 (2023)
Andrei Stoian, Jordan Fréry, Roman Bredehoft, Luis Montero, Celia Kherfallah, Benoît Chevallier-Mames
Deep Neural Networks for Encrypted Inference with TFHE. CSCML (2023)