PrivacyIN Open Class Video | Wang Xiao: Machine Learning Privacy Protection Design Based on ZK Protocol

The first public class of PrivacyIN invited Wang Xiao, assistant professor of Northwestern University, as the keynote speaker to explain ZKsystem (Mystique).

Xiao Wang is an assistant professor in the Department of Computer Science at Northwestern University. After receiving his Ph.D. from the University of Maryland, he worked as a postdoctoral fellow at MIT and Boston University, covering computer security, privacy, and cryptography. His current research interests include practically secure multi-party computation, zero-knowledge proofs, inadvertent random access machines (ORAM), and post-quantum cryptography. In 2017, Wang Xiao won the ACM CCS Best Paper Award.

In this lecture, Prof. Xiao Wang will give an in-depth lecture on the ZKsystem, which can efficiently convert between arithmetic and Boolean values, between publicly submitted values and privately verified values, with the goal of large-scale AI neural network inference.

https://www.bilibili.com/video/BV1na411Z7SC/?aid=259494993&cid=800256540&page=1