Joohee Lee

Privacy-Preserving Embedding via Look-up Table Evaluation with Fully Homomorphic Encryption

In privacy-preserving machine learning (PPML), homomorphic encryption (HE) has emerged as a significant primitive, allowing the use of machine learning (ML) models while protecting the confidentiality of input data. Although extensive research has been conducted on implementing PPML with HE by devel…