Application-Aware Approximate Homomorphic Encryption: Configuring FHE for Practical Use

ePrint Report: Application-Aware Approximate Homomorphic Encryption: Configuring FHE for Practical Use

Andreea Alexandru, Ahmad Al Badawi, Daniele Micciancio, Yuriy Polyakov

Fully Homomorphic Encryption (FHE) is a powerful tool for performing privacy-preserving analytics over encrypted data. A promising method for FHE over real and complex numbers is approximate homomorphic encryption, instantiated with the Cheon-Kim-Kim-Song (CKKS) scheme. The CKKS scheme enables efficient evaluation for many privacy-preserving machine learning applications. Despite its high efficiency, there is currently a lot of confusion on how …

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