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