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cs.LG2024
LabObf: A Label Protection Scheme for Vertical Federated Learning Through Label Obfuscation
Ying He, Mingyang Niu, Jingyu Hua +4
Split Neural Network, as one of the most common architectures used in vertical federated learning, is popular in industry due to its privacy-preserving characteristics. In this arc…
cs.LG2023
Secure Split Learning against Property Inference, Data Reconstruction, and Feature Space Hijacking Attacks
Yunlong Mao, Zexi Xin, Zhenyu Li +3
Split learning of deep neural networks (SplitNN) has provided a promising solution to learning jointly for the mutual interest of a guest and a host, which may come from different…