HE-Booster: An Efficient Polynomial Arithmetic Acceleration on GPUs for Fully Homomorphic Encryption
Author:
Affiliation:
1. State Key Laboratory of Information Security, Institute of Information Engineering, CAS, Beijing, China
2. Indiana University at Bloomington, Bloomington, IN, USA
Funder
National Natural Science Fund of China for Distinguished Young Scholars
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computational Theory and Mathematics,Hardware and Architecture,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/71/10043602/10012383.pdf?arnumber=10012383
Reference81 articles.
1. Fully Homomorphic Encryption from Ring-LWE and Security for Key Dependent Messages
2. PyTorch: An imperative style, high-performance deep learning library;paszke;Proc Adv Neural Inf Process Syst,2019
3. Fully Homomorphic Encryption without Modulus Switching from Classical GapSVP
4. Cooperative groups: Flexible CUDA thread programming;harris,2017
5. Homomorphic Encryption for Arithmetic of Approximate Numbers
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