Data Flow Oriented Hardware Design of RNS Based Polynomial Multiplication for SHE Acceleration

Explore a 20-minute conference talk presented at CHES 2018 that delves into the data flow oriented hardware design of Residue Number System (RNS) based polynomial multiplication for accelerating Somewhat Homomorphic Encryption (SHE). Gain insights from the research conducted by Joël Cathébras, Alexandre Carbon, Peter Milder, Renaud Sirdey, and Nicolas Ventroux as they discuss innovative approaches to improve the efficiency of SHE operations through specialized hardware design. Learn about the potential implications of this work for enhancing the performance of homomorphic encryption systems in various applications.