activity
20192023
most citedPrecise Approximation of Convolutional Neural Networks for Homomorphically Encrypted Data

13 citations · 26 across the 5 of their papers we have counts for

collaborators
Showing 2021 · cs.LGShow all

1 paper · 2 filters

cs.LG2021★ 4 cited

Privacy-Preserving Machine Learning with Fully Homomorphic Encryption for Deep Neural Network

Joon-Woo Lee, HyungChul Kang, Yongwoo Lee +8

Fully homomorphic encryption (FHE) is one of the prospective tools for privacypreserving machine learning (PPML), and several PPML models have been proposed based on various FHE sc…