4 citations · 4 across the 1 of their papers we have counts for
2 papers
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…
cs.CR2018
Multi-Client Order-Revealing Encryption
Jieun Eom, Dong Hoon Lee, Kwangsu Lee
Order-revealing encryption is a useful cryptographic primitive that provides range queries on encrypted data since anyone can compare the order of plaintexts by running a public co…