Tag
A technical blog post explaining distributed key generation (DKG) using multiparty computation, showing how parties can jointly generate a key without any single party holding the full private key, complete with a worked example.
The author built a proof-of-concept private genomics study using Stoffel MPC, where one hundred simulated participants computed aggregate allele counts without any party seeing the complete dataset, demonstrating privacy-preserving genomic analysis.
The article introduces the concept of Beaver Triples in the context of Secure Multi-Party Computation (MPC) using a practical example of friends privately deciding on a restaurant. It explains how secret sharing allows participants to compute group-level scores based on private inputs without revealing individual data.