2 papers
cs.CR2025
HHEML: Hybrid Homomorphic Encryption for Privacy-Preserving Machine Learning on Edge
Yu Hin Chan, Hao Yang, Shiyu Shen +4
Privacy-preserving machine learning (PPML) is an emerging topic to handle secure machine learning inference over sensitive data in untrusted environments. Fully homomorphic encrypt…
cs.CR2021
OSKR/OKAI: Systematic Optimization of Key Encapsulation Mechanisms from Module Lattice
Shiyu Shen, Feng He, Zhichuang Liang +2
In this work, we make \emph{systematic} optimizations of key encapsulation mechanisms (KEM) based on module learning-with-errors (MLWE), covering algorithmic design, fundamental op…