Funshade: Functional Secret Sharing for Two-Party Secure Thresholded Distance Evaluation

ePrint Report: Funshade: Functional Secret Sharing for Two-Party Secure Thresholded Distance Evaluation

Alberto Ibarrondo, Hervé Chabanne, Melek Önen

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 …

eprint report party secret sharing