Leveraging GPU in Homomorphic Encryption: Framework Design and Analysis of BFV Variants

ePrint Report: Leveraging GPU in Homomorphic Encryption: Framework Design and Analysis of BFV Variants

Shiyu Shen, Hao Yang, Wangchen Dai, Lu Zhou, Zhe Liu, Yunlei Zhao

Homomorphic Encryption (HE) enhances data security by facilitating computations on encrypted data, opening new paths for privacy-focused computations. The Brakerski-Fan-Vercauteren (BFV) scheme, a promising HE scheme, raises considerable performance challenges. Graphics Processing Units (GPUs), with considerable parallel processing abilities, have emerged as an effective solution.


In this work, we present an in-depth study focusing …

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