Is Vertical Logistic Regression Privacy-Preserving? A Comprehensive Privacy Analysis and Beyond

no code implementations • 19 Jul 2022 • Yuzheng Hu, Tianle Cai, Jinyong Shan, Shange Tang, Chaochao Cai, Ethan Song, Bo Li, Dawn Song

We provide a comprehensive and rigorous privacy analysis of VLR in a class of open-source Federated Learning frameworks, where the protocols might differ between one another, yet a procedure of obtaining local gradients is implicitly shared.

Philosophy Privacy Preserving +2