

Daniel Escudero
J.P. Morgan AI Research
10th March 2022, 4:00pm - 5:00pm (GST)
Title: | Fast Fully Secure Multi-Party Computation over Any Ring with Two-Thirds Honest Majority |
Abstract: | We introduce a new MPC protocol to securely compute any functionality over an arbitrary black-box finite ring (which may not be commutative), tolerating $t<n/3$ active corruptions while \textit{guaranteeing output delivery} (G.O.D.). |
Bio: | Daniel Escudero is a researcher on Cryptography with interests in Secure Multiparty Computation, Distributed Systems, Privacy-Preserving Machine Learning, among others. Daniel completed his PhD from Aarhus University, Denmark, in November 2021, and he currently holds a research position at JP Morgan AI Research, New York. |