19 citations · 31 across the 5 of their papers we have counts for
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cs.CR2023★ 4 cited
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…
cs.LG2023★ 2 cited
Deep Neural Networks for Encrypted Inference with TFHE
Andrei Stoian, Jordan Frery, Roman Bredehoft +3
Fully homomorphic encryption (FHE) is an encryption method that allows to perform computation on encrypted data, without decryption. FHE preserves the privacy of the users of onlin…