PrivSynth: Alternating and Control-Based Optimization for Privacy and Utility in Synthetic Data
Xinyuan Zhao, Hanlin Gu, Guibao Song et al.
· 0 citations
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Aug 2026
FedAdOb: Privacy-Preserving Federated Deep Learning with Adaptive Obfuscation.
This article proposes a novel adaptive obfuscation mechanism, coined FedAdOb, to protect private data without yielding original model performances, and utilizes passport-based adaptive obfuscation to ensure data privacy in both horizontal and vertical federated learning settings.
Hanlin Gu, Jiahuan Luo, Yan Kang et al.
· IEEE Transactions on Pattern... · 0 citations