2 papers
cs.AR2025
Presto: Hardware Acceleration of Ciphers for Hybrid Homomorphic Encryption
Yeonsoo Jeon, Mattan Erez, Michael Orshansky
Hybrid Homomorphic Encryption (HHE) combines symmetric key and homomorphic encryption to reduce ciphertext expansion crucial in client-server deployments of HE. Special symmetric c…
cs.LG2023
Artemis: HE-Aware Training for Efficient Privacy-Preserving Machine Learning
Yeonsoo Jeon, Mattan Erez, Michael Orshansky
Privacy-Preserving ML (PPML) based on Homomorphic Encryption (HE) is a promising foundational privacy technology. Making it more practical requires lowering its computational cost,…