Our recent work in collaboration with a team from CEA (The French Alternative Energies and Atomic Energy Commission) LIST institute has been accepted to appear at the Conference on Cryptographic Hardware and Embedded Systems 2018.
The paper, “Data Flow Oriented Hardware Design of RNS-based Polynomial Multiplication for SHE Acceleration” was authored by Joël Cathébras, Alexandre Carbon, Peter Milder, Renaud Sirdey, and Nicolas Ventroux. In this work, we use an FPGA to residue polynomial multiplication. To do so, we adapted Spiral to generate efficient hardware implementations of the Number Theoretic Transform (NTT), and added a new hardware structure that changes its twiddle factors on the fly.
Please check back soon for a pre-print.