Computer Science Class of ’60s Lecture – Elaine Shi, Carnegie Mellon

Thursday, May 014:15pm in Bronfman Auditorium (Wachenheim B11)

Secure Multi-Party Computation

Imagine that several hospitals want to collaborate on data analysis using their medical records. However, privacy regulations prevent them from directly sharing this sensitive information with one another. At first glance, this computational task might seem fundamentally at odds with the need for confidentiality — but this is where cryptography can work its magic. In this lecture, I will introduce some simple secure multi-party computation protocols that make this collaboration possible without compromising privacy.

Elaine Shi is a professor with a joint appointment in CSD and ECE at Carnegie Mellon University. Her research interests include cryptography, security, mechanism design, algorithms, foundations of blockchains, and programming languages. She is a co-founder of Oblivious Labs, Inc. Her research on Oblivious RAM and differentially private algorithms have been adopted by Signal, Meta, and Google. She is a Sloan Fellow, Packard Fellow, ACM Fellow, and IACR Fellow, and her work has won numerous awards.