Efficient FHEW Bootstrapping with Small Evaluation Keys, and Applications to Threshold Homomorphic Encryption
Yongwoo Lee, Daniele Micciancio, Andrey Kim, Rakyong Choi, Maxim Deryabin, Jieun Eom, Donghoon Yoo
摘要
There are two competing approaches to bootstrap the FHEW fully homomorphic encryption scheme (Ducas and Micciancio, Eurocrypt 2015) and its variants: the original AP/FHEW method, which supports arbitrary secret key distributions, and the improved GINX/TFHE method, which uses much smaller evaluation keys, but is directly applicable only to binary secret keys, restricting the scheme's applicability.
In this paper, we present a new bootstrapping procedure for FHEW-like encryption schemes that achieves the best features of both methods: support for arbitrary secret key distributions at no additional runtime costs, while using small evaluation keys. (Support for arbitrary secret keys is critical in a number of important applications, like threshold and some multi-key homomorphic encryption schemes.) As an added benefit, our new bootstrapping procedure results in smaller noise growth than both AP and GINX, regardless of the key distribution.
Our improvements are both theoretically significant (offering asymptotic savings, up to a multiplicative factor, either on the running time or public evaluation key size), and practically relevant. For example, for a concrete 128-bit target security level, we show how to decrease the evaluation key size of the best previously known scheme by more than 30%, while also slightly reducing the running time. We demonstrate the practicality of the proposed methods by building a prototype implementation within the PALISADE/OpenFHE open-source homomorphic encryption library. We provide optimized parameter sets and implementation results showing that the proposed algorithm has the best performance among all known FHEW bootstrapping methods in terms of runtime and key size. We illustrate the benefits of our method by sketching a simple construction of threshold homomorphic encryption based on FHEW.
问问这篇 Paper
问问你的智能体。
Lune 读过与它相关的顶会 Paper,每个回答都会注明依据哪几篇。
引用它的顶会 Paper5
- Drifting Towards Better Error Probabilities in Fully Homomorphic Encryption SchemesOlivier Bernard, Marc Joye, Nigel P. Smart, Michael WalterEUROCRYPT 2025 · 被引用 6 次
- Practical TFHE Ciphertext Sanitization for Oblivious Circuit EvaluationIntak Hwang, Seonhong Min, Jinyeong Seo, Yongsoo SongCCS 2025
- Ajax: Fast Threshold Fully Homomorphic Encryption without Noise FloodingZhenkai Hu, Haofei Liang, Xiao Wang, Xiang Xie 等USENIX Security 2026
- BatchBoot: Fast Batched Bootstrapping for TFHE scheme and Practical ApplicationsZhihao Li, Hongyu Wang, Yuan Zhao, Lichun Li 等USENIX Security 2026
- Fast Homomorphic Evaluation of LWR-based PRFsAmit Deo, Marc Joye, Benoît Libert, Benjamin R. Curtis 等CCS 2025
相关 Paper
- Fast Blind Rotation for Bootstrapping FHEsBinwu Xiang, Jiang Zhang, Yi Deng, Yiran Dai 等CRYPTO 2023 · 被引用 35 次
- Fast Amortized Bootstrapping with Small Keys and Polynomial Noise OverheadAntonio Guimarães, Hilder V. L. PereiraCCS 2025
- New Techniques for Fast and Shallow FHE Bootstrapping and BeyondAayush Jain, Huijia Lin, Zeyu Liu, Sagnik SahaCRYPTO 2026
- HERDS: Multi-key Fully Homomorphic Encryption with Sublinear BootstrappingBinwu Xiang, Seonhong Min, Intak Hwang, Zhiwei Wang 等EUROCRYPT 2026 · 被引用 1 次
- General Functional Bootstrapping Using CKKSAndreea Alexandru, Andrey Kim, Yuriy PolyakovCRYPTO 2025 · 被引用 17 次
