Welcome to the resource topic for 2022/1688
Title:
Funshade: Functional Secret Sharing for Two-Party Secure Thresholded Distance Evaluation
Authors: Alberto Ibarrondo, Hervé Chabanne, Melek Önen
Abstract:We propose a novel privacy-preserving, two-party computation of various distance metrics (e.g., Hamming distance, Scalar Product) followed by a comparison with a fixed threshold, which is known as one of the most useful and popular building blocks for many different applications including machine learning, biometric matching, etc. Our solution builds upon recent advances in functional secret sharing and makes use of an optimized version of arithmetic secret sharing. Thanks to this combination, our new solution named Funshade is the first to require only one round of communication and two ring elements of communication in the online phase, outperforming all prior state-of-the-art schemes while relying on lightweight cryptographic primitives. Lastly, we implement the solution from scratch in Python using efficient C++ blocks, testifying its high performance.
ePrint: https://eprint.iacr.org/2022/1688
See all topics related to this paper.
Feel free to post resources that are related to this paper below.
Example resources include: implementations, explanation materials, talks, slides, links to previous discussions on other websites.
For more information, see the rules for Resource Topics .