Paper 2023/844

Inferring Bivariate Polynomials for Homomorphic Encryption Application

George Teseleanu

Abstract

Inspired by the advancements in (fully) homomorphic encryption during the last decades and its practical applications, we conduct a preliminary study on the underlying mathematical structure of the corresponding schemes. Hence, this paper focuses on investigating the challenge of deducing bivariate polynomials constructed using homomorphic operations, namely repetitive additions and multiplications. To begin with, we introduce an approach for solving the previously mentioned problem using Lagrange interpolation for the evaluation of univariate polynomials. This method is well-established for determining univariate polynomials that satisfy a specific set of points. Moreover, we propose a second approach based on modular knapsack resolution algorithms. These algorithms are designed to address optimization problems where a set of objects with specific weights and values is involved. Finally, we give recommendations on how to run our algorithms in order to obtain better results in terms of precision.