Bicoptor: Two-round Secure Three-party Non-linear Computation without Preprocessing for Privacy-preserving Machine Learning. (arXiv:2210.01988v1 [cs.CR])

The overhead of non-linear functions dominates the performance of the secure
multiparty computation (MPC) based privacy-preserving machine learning (PPML).
This work introduces two sets of novel secure three-party computation (3PC)
protocols, using additive and replicated secret sharing schemes respectively.
We name the whole family of protocols as Bicoptor, its basis is a new sign
determination protocol, which relies on a clever use of the truncation protocol
proposed in SecureML (S&P 2017). Our 3PC sign determination protocol only
requires two communication …

computation machine machine learning non party privacy