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…