Publications

Yizheng Zhu, Yuncheng Wu, Zhaojing Luo, Beng Chin Ooi, Xiaokui Xiao. “Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs”. In Proceedings of the VLDB Endowment (PVLDB), 2024.

Yuncheng Wu, Naili Xing, Gang Chen, Tien Tuan Anh Dinh, Zhaojing Luo, Beng Chin Ooi, Xiaokui Xiao, Meihui Zhang. “Falcon: A Privacy-Preserving and Interpretable Vertical Federated Learning System”. In Proceedings of the VLDB Endowment (PVLDB), 2023.

Yatong Wang, Yuncheng Wu, Xincheng Chen, Gang Feng, Beng Chin Ooi. “Incentive-Aware Decentralized Data Collaboration”. In ACM Special Interest Group in Management of Data (SIGMOD), 2023.

Rui Fu, Yuncheng Wu, Quanqing Xu, Meihui Zhang. “FEAST: A Communication-Efficient Federated Feature Selection Framework for Relational Data”. In ACM Special Interest Group in Management of Data (SIGMOD), 2023.

Xinjian Luo, Yangfan Jiang, Xiaokui Xiao. “Feature Inference Attack on Shapley Values”. In ACM SIGSAC Conference on Computer and Communications Security (CCS), 2022: 2233-2247.

Xinjian Luo, Xiaokui Xiao, Yuncheng Wu, Juncheng Liu, Beng Chin Ooi. “A Fusion-Denoising Attack on InstaHide with Data Augmentation”. In AAAI Conference on Artificial Intelligence (AAAI), 2022: 1899-1907.

Pan Zhou, Qian Lin, Dumitrel Loghin, Beng Chin Ooi, Yuncheng Wu, Hongfang Yu. “Communication-efficient Decentralized Machine Learning over Heterogeneous Networks”. Proceedings of the IEEE International Conference on Data Engineering (ICDE), 2021.

Xinjian Luo, Yuncheng Wu, Xiaokui Xiao, Beng Chin Ooi. “Feature Inference Attack on Model Predictions in Vertical Federated Learning”. Proceedings of the IEEE International Conference on Data Engineering (ICDE), 2021.

Yuncheng Wu, Shaofeng Cai, Xiaokui Xiao, Gang Chen, Beng Chin Ooi. “Privacy Preserving Vertical Federated Learning for Tree-based Models”. Proceedings of the VLDB Endowment, 2020.