Cathie Yun

Cathie Yun

Applied Cryptographer, Security Engineer

Publications

ACORN: Input Validation for Secure Aggregation

Published in Under submission, 2022

This paper presents ACORN, an secure aggregation extension that enables input validation to prevent malicious clients from gaining disproportionate influence on the computed aggregated statistics or machine learning model.

Recommended citation: James Bell, Adrià Gascón, Tancrède Lepoint, Baiyu Li, Sarah Meiklejohn, Mariana Raykova, Cathie Yun. (2022). "ACORN: Input Validation for Secure Aggregation." https://eprint.iacr.org/2022/1461

TxVM: A New Design for Blockchain Transactions

Published March 2018

With TxVM we seek to combine the respective strengths of the declarative and imperative approaches to representing blockchain transactions, while avoiding their weaknesses.

Recommended citation: Bob Glickstein, Cathie Yun, Dan Robinson, Keith Rarick, Oleg Andreev. (2018). "TxVM: A New Design for Blockchain Transactions.". https://chain.com/assets/txvm.pdf

Splinter: Practical Private Queries on Public Data

Published in Proceedings of the 14th USENIX Symposium on Networked Systems Design and Implementation (NSDI '17), Boston, March, 2017

This paper presents Splinter, a system that protects users’ queries on public datasets while achieving practical performance for many current web applications.

Recommended citation: Frank Wang, Catherine Yun, Shafi Goldwasser, and Vinod Vaikuntanathan. (2017). "Splinter: Practical Private Queries on Public Data." In Proceedings of the 14th USENIX Symposium on Networked Systems Design and Implementation (NSDI '17), Boston, March. https://www.usenix.org/system/files/conference/nsdi17/nsdi17-wang-frank.pdf