/ Berry Schoenmakers: Multiparty Computation for Privacy-Preserving Computing

Berry Schoenmakers: Multiparty Computation for Privacy-Preserving Computing

11th December 2025
2:00 pm - 4:00 pm

102 (Robert Recorde), Computational Foundry

The Cyber Security Group is delighted to invite you to the first seminar of CRANE’s Wales Regional Seminar Series. This series is funded by CRANE, a new EPSRC-funded network aimed at strengthening the UK’s cyber security research ecosystem. It is jointly coordinated by the Cyber Security Group at Swansea University and our counterparts at Cardiff University.

This seminar is supported by CRANE, the EPSRC NetworkPlus for the cyber security research community: www.crane.ac.ukLinks to an external site.. The seminar will feature Dr Berry Schoenmakers from Eindhoven University of Technology, followed by an engaging panel discussion.

Date:Thursday, 11th December 2025

Time: 2-4 pm

Venue:CoFo 102 (Robert Recorde Room)

Talk’s title:Multiparty Computation for Privacy-Preserving Computing

Talk’s abstract: MPyC is a Python package introduced in 2018 as a versatile framework for programming MPC solutions. This seminar will discuss aspects of secure multiparty computation taking MPyC as primary example. It will highlight developments in usability, security, performance, and deployment of MPyC typical for the wider developments in MPC, touching on a wide range of topics such as outsourcing, threshold cryptography, fixed-point arithmetic, vectorized processing, and public verifiability. The seminar will also discuss practical and commercial deployment of MPC by Roseman Labs, based on their C++ MPC engine with crandas (“encrypted pandas”) as Python front-end for secure data collaboration.

Bio: https://berry.win.tue.nl/Links to an external site.

Panel discussion’s title:Advancing Secure Multiparty Computation: Bridging Theoretical Foundations and Practical Implementations.

We warmly invite you to join us for this exciting event and look forward to your support in making this series a success.