BitGC for Rate-One 2PC
Xiao Wang
Abstract:
This talk introduces BitGC, a computationally efficient rate-one garbling scheme based on circular-secure RLWE. The garbling consists of an encrypted seed and one-bit per gate stitching information. The scheme has great practical potential for efficient two-party computation, as it does not require the bootstrapping operations needed for FHE.
Bio:
Xiao Wang is an assistant professor of Computer Science at Northwestern University. His research focuses on applied cryptography and its applications in machine learning, databases, formal methods, health informatics, and the legal domain. He was a postdoctoral researcher at MIT and Boston University from 2018 to 2019. He obtained a Ph.D. from the University of Maryland in 2018. His research has been supported by NSF, DARPA, AFRL, Google, Meta, JPMorgan Chase, and the Sloan Foundation.