Secure multiparty computing (MPC) solves the problem of collaborative computing that protects privacy between parties that do not trust each other. It's aim is to safely calculate an agreed-upon problem without a trusted third party, while each participant is required to partake in the calculation result and can't be obtained by other entities. A simple illustration for MPC is the millionaires' problem: two millionaires want to understand who is the richest, but neither want to share their actual net worth with each other nor trust a third party. The implementation approaches of MPC vary; scenarios may include secret sharing, oblivious transfer, garbled circuits or homomorphic encryption. Some commercial MPC solutions that have recently appeared (e.g., Antchain Morse) claim to help solve the problems of secret sharing and secure machine learning in scenarios such as multiparty joint credit investigation and medical records data exchange. Although these platforms are attractive from a marketing perspective, we've yet to see whether they're really useful.
