In this talk we will present a novel MPC framework, Manticore, with full threshold and semi-honest security model, supporting a combination of real number arithmetic (arithmetic shares), Boolean arithmetic (Boolean shares) and garbled circuits (Yao shares). We establish a parallel between the plaintext encodings used to represent boolean, integer and fixed-point numbers between Chimera-FHE and Manticore-MPC, and show that many notions like level, depth, lift/bootstrapping are in common between these two privacy preserving techniques.

We explain how to achieve the base arithmetic on bits and numbers in MPC.