Ruijun Deng

2 accepted papers

2026

InfoDecom: Decomposing Information for Defending Against Privacy Leakage in Split Inference

AAAI 2026technical

Split inference (SI) enables users to access deep learning (DL) services without directly transmitting raw data. However, recent studies reveal that data reconstruction attacks (DRAs) can recover the original inputs from the smashed data sent from the client to the server, leading to significant pri

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2025

Backdoor Attack on Vertical Federated Graph Neural Network Learning

Jirui Yang, Peng Chen, Zhihui Lu, Jianping Zeng, Qiang Duan, Xin Du +1

IJCAI 2025

Federated Graph Neural Network (FedGNN) integrate federated learning (FL) with graph neural networks (GNNs) to enable privacy-preserving training on distributed graph data. Vertical Federated Graph Neural Network (VFGNN), a key branch of FedGNN, handles scenarios where data features and labels are d

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