High-throughput and fully-pipelined ciphertext multiplier for homomorphic encryption
Author:
Affiliation:
1. Department of Electrical Engineering and Information Systems, The University of Tokyo
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Link
https://www.jstage.jst.go.jp/article/elex/21/6/21_21.20230628/_pdf
Reference34 articles.
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2. [2] R. Gilad-Bachrach, et al.: “CryptoNets: applying neural networks to encrypted data with high throughput and accuracy,” Proceedings of The 33rd International Conference on Machine Learning 48 (2016) 201 (DOI: 10.5555/3045390.3045413).
3. [3] J.H. Cheon, et al.: “Homomorphic encryption for arithmetic of approximate numbers,” Advances in Cryptology - ASIACRYPT (2017) 409 (DOI: 10.1007/978-3-319-70694-8_15).
4. [4] Z. Brakerski, et al.: “(Leveled) Fully homomorphic encryption without bootstrapping,” ACM Trans. Comput. Theory 6 (2014) 1 (DOI: 10.1145/2633600).
5. [5] J. Fan and F. Vercauteren: “Somewhat practical fully homomorphic encryption,” Cryptology ePrint Archive (2012) Paper 2012/144.
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