@inproceedings{46e672c6a9344632a72fa78a1e952328,
title = "Malicious Security for SCALES: Outsourced Computation with Ephemeral Servers",
abstract = "SCALES (Small Clients And Larger Ephemeral Servers) model is a recently proposed model for MPC (Acharya et al., TCC 2022). While the SCALES model offers several attractive features for practical large-scale MPC, the result of Acharya et al. only offered semi-honest secure protocols in this model. We present a new efficient SCALES protocol secure against malicious adversaries, for general Boolean circuits. We start with the base construction of Acharya et al. and design and use a suite of carefully defined building blocks that may be of independent interest. The resulting protocol is UC-secure without honest majority, with a CRS and bulletin-board as setups, and allows publicly identifying deviations from correct execution.",
keywords = "Dishonest Majority, Malicious Security, MPC with Ephemeral Servers, Rerandomizable Garbled Circuits, SCALES",
author = "Anasuya Acharaya and Carmit Hazay and Vladimir Kolesnikov and Manoj Prabhakaran",
note = "Publisher Copyright: {\textcopyright} International Association for Cryptologic Research 2024.; 44th Annual International Cryptology Conference, CRYPTO 2024 ; Conference date: 18-08-2024 Through 22-08-2024",
year = "2024",
doi = "10.1007/978-3-031-68400-5_1",
language = "الإنجليزيّة",
isbn = "9783031683992",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "3--38",
editor = "Leonid Reyzin and Douglas Stebila",
booktitle = "Advances in Cryptology – CRYPTO 2024 - 44th Annual International Cryptology Conference, Proceedings",
address = "ألمانيا",
}