Search Results for author: Xiaochen Zhu

Found 3 papers, 2 papers with code

Passive Inference Attacks on Split Learning via Adversarial Regularization

no code implementations16 Oct 2023 Xiaochen Zhu, Xinjian Luo, Yuncheng Wu, Yangfan Jiang, Xiaokui Xiao, Beng Chin Ooi

SDAR leverages auxiliary data and adversarial regularization to learn a decodable simulator of the client's private model, which can effectively infer the client's private features under the vanilla SL, and both features and labels under the U-shaped SL.

Federated Learning

Blink: Link Local Differential Privacy in Graph Neural Networks via Bayesian Estimation

1 code implementation6 Sep 2023 Xiaochen Zhu, Vincent Y. F. Tan, Xiaokui Xiao

Graph neural networks (GNNs) have gained an increasing amount of popularity due to their superior capability in learning node embeddings for various graph inference tasks, but training them can raise privacy concerns.

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