Accessibility of covariance information creates vulnerability in Federated Learning frameworks
Manuel Huth, Jonas Arruda, Roy Gusinow, Lorenzo Contento, Evelina Tacconelli, Jan Hasenauer
This study introduces an attack that reconstructs privacy-protected data in FL frameworks by exploiting covariance information and proposes defense strategies using differential privacy.
Bioinformatics · Aug 29, 2023Peer-reviewedBioinformatics