Publicly Accountable Robust Multi-Party Computation
Offered By: IEEE via YouTube
Course Description
Overview
Explore a cutting-edge IEEE conference talk on Publicly Accountable Robust Multi-Party Computation presented by researchers from the University of Stuttgart. Delve into the innovative concepts and methodologies developed by Marc Rivinius, Pascal Reisert, Daniel Rausch, and Ralf Küsters as they address the challenges and potential solutions in this critical area of cryptography and distributed computing. Gain insights into how public accountability can be integrated with robust multi-party computation techniques to enhance security and trust in collaborative data processing environments.
Syllabus
Publicly Accountable Robust Multi-Party Computation
Taught by
IEEE Symposium on Security and Privacy
Tags
Related Courses
Managing Devices using Enterprise Mobility SuiteMicrosoft via edX Firebase Essentials For Android
Google via Udacity Research Data Management and Sharing
The University of North Carolina at Chapel Hill via Coursera SAP HANA CLOUD PLATFORM の重要事項
SAP Learning Windows 10 pour l'entreprise
Microsoft Virtual Academy via OpenClassrooms