High-Throughput Universally Composable Threshold FHE Decryption

Guy Zyskind; Doron Zarchy; Max Leibovich; Chris Peikert

doi:10.1145/3719027.3744884

CCS2025顶会

High-Throughput Universally Composable Threshold FHE Decryption

Guy Zyskind, Doron Zarchy, Max Leibovich, Chris Peikert

DOI 出版方

2025年份

摘要

Threshold Fully Homomorphic Encryption (FHE) enables arbitrary computation on encrypted data, while distributing the decryption capability across multiple parties. A primary application of interest is low-communication multi-party computation (MPC), which benefits from a fast and secure threshold FHE decryption protocol.

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它引用的顶会 Paper7

SecureML: A System for Scalable Privacy-Preserving Machine LearningPayman Mohassel, Yupeng ZhangS&P 2017 · 被引用 2,107 次
New Primitives for Actively-Secure MPC over Rings with Applications to Private Machine LearningIvan Damgård, Daniel Escudero, Tore Kasper Frederiksen, Marcel Keller 等S&P 2019 · 被引用 182 次
Function Secret Sharing for Mixed-Mode and Fixed-Point Secure ComputationElette Boyle, Nishanth Chandran, Niv Gilboa, Divya Gupta 等EUROCRYPT 2021 · 被引用 135 次
Improved Primitives for MPC over Mixed Arithmetic-Binary CircuitsDaniel Escudero, Satrajit Ghosh, Marcel Keller, Rahul Rachuri 等CRYPTO 2020 · 被引用 123 次
MP-SPDZ: A Versatile Framework for Multi-Party ComputationMarcel KellerCCS 2020 · 被引用 24 次

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