Feature Inference Attack on Shapley Values. - Xinjian Luo; Yangfan Jiang 001; Xiaokui Xiao (CCS, 2022)

Protecting Label Distribution in Cross-Silo Federated Learning. - Yangfan Jiang 001; Xinjian Luo; Yuncheng Wu; Xiaokui Xiao; Beng Chin Ooi (SP, 2024)

Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An Adversarial Perspective. - Xinjian Luo; Yangfan Jiang 001; Fei Wei; Yuncheng Wu; Xiaokui Xiao; Beng Chin Ooi (IEEE Trans. Inf. Forensics Secur., 2024)

On Data Distribution Leakage in Cross-Silo Federated Learning. - Yangfan Jiang 001; Xinjian Luo; Yuncheng Wu; Xiaochen Zhu 003; Xiaokui Xiao; Beng Chin Ooi (IEEE Trans. Knowl. Data Eng., 2024)

Calibrating Noise for Group Privacy in Subsampled Mechanisms. - Yangfan Jiang 001; Xinjian Luo; Yin Yang 001; Xiaokui Xiao (Proc. VLDB Endow., 2024)

Passive Inference Attacks on Split Learning via Adversarial Regularization. - Xiaochen Zhu 003; Xinjian Luo; Yuncheng Wu; Yangfan Jiang 001; Xiaokui Xiao; Beng Chin Ooi (NDSS, 2025)