Welcome to the resource topic for 2020/1577
Title:
Multi-Party Replicated Secret Sharing over a Ring with Applications to Privacy-Preserving Machine Learning
Authors: Alessandro Baccarini, Marina Blanton, Chen Yuan
Abstract:Secure multi-party computation has seen significant performance advances and increasing use in recent years. Techniques based on secret sharing offer attractive performance and are a popular choice for privacy-preserving machine learning applications. Traditional techniques operate over a field, while designing equivalent techniques for a ring \mathbb{Z}_{2^k} can boost performance. In this work we develop a suite of multi-party protocols for a ring in the honest majority setting starting from elementary operations to more complex with the goal of supporting general-purpose computation. We demonstrate that our techniques are substantially faster than their field-based equivalents and perform on par with or better than state-of-the-art techniques. We also evaluate our techniques on machine learning applications and show that they offer attractive performance for these applications.
ePrint: https://eprint.iacr.org/2020/1577
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