13 citations · 17 across the 2 of their papers we have counts for
3 papers
quant-ph2024
Coarse-grained quantum state tomography with optimal POVM construction
Donghun Jung, Young-Wook Cho, Yosep Kim +1
Constructing an integrated large-scale qubit system of realistic size requires addressing the challenge of physical crowding among qubits. This constraint poses an issue of coarse-…
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.CR2021★ 13 cited
Precise Approximation of Convolutional Neural Networks for Homomorphically Encrypted Data
Junghyun Lee, Eunsang Lee, Joon-Woo Lee +3
Homomorphic encryption is one of the representative solutions to privacy-preserving machine learning (PPML) classification enabling the server to classify private data of clients w…