Bicoptor: Two-round Secure Three-party Non-linear Computation without Preprocessing for Privacy-preserving Machine Learning

ePrint Report: Bicoptor: Two-round Secure Three-party Non-linear Computation without Preprocessing for Privacy-preserving Machine Learning

Lijing Zhou, Ziyu Wang, Hongrui Cui, Qingrui Song, Yu Yu

The overhead of non-linear functions dominates the performance of the secure multiparty computation (MPC) based privacy-preserving machine learning (PPML).
This work introduces a family of novel secure three-party computation (3PC) protocols, Bicoptor, which improve the efficiency of evaluating non-linear functions.
The basis of Bicopter is a new sign determination protocol, which relies on a clever use …

computation eprint report machine machine learning non party privacy