Yangfan Jiang

Yangfan Jiang 「姜洋帆」


Short Bio: I am a Ph.D. candidate in Computer Science at the National University of Singapore, advised by Prof. Xiaokui Xiao. My research focuses on data privacy and data analytics. I received my B.Eng. degree in Computer Science from Sun Yat-sen University in 2021, advised by Prof. Di Wu.

Curriculum Vitae: [cv.pdf]

Contact: jyangfan@u.nus.edu

Publications

Data Privacy

  1. Calibrating Noise for Group Privacy in Subsampled Mechanisms
    Yangfan Jiang, Xinjian Luo, Yin Yang, and Xiaokui Xiao
    In Proceedings of the International Conference on Very Large Data Bases (VLDB), 2025.

  2. Unlocking the Power of Differentially Private Zeroth-Order Optimization for Fine-Tuning LLMs
    Ergute Bao, Yangfan Jiang, Fei Wei, Xiaokui Xiao, Zitao Li, Yaliang Li, and Bolin Ding
    In Proceedings of the USENIX Security Symposium (USENIX Security), 2025.

  3. Protecting Label Distribution in Cross-Silo Federated Learning
    Yangfan Jiang, Xinjian Luo, Yuncheng Wu, Xiaokui Xiao, and Beng Chin Ooi
    In Proceedings of the IEEE Symposium on Security and Privacy (S&P), 2024.

  4. On Data Distribution Leakage in Cross-Silo Federated Learning
    Yangfan Jiang, Xinjian Luo, Yuncheng Wu, Xiaochen Zhu, Xiaokui Xiao, and Beng Chin Ooi
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 36(7): 3312-3328, 2024.

Data Analytics

  1. Fair Data Pre-Processing with Imperfect Attribute Space
    Ying Zheng, Yangfan Jiang, and Kian-Lee Tan
    In Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), 2026.

  2. Accurate Table Question Answering with Accessible LLMs
    Yangfan Jiang, Fei Wei, Ergute Bao, Yaliang Li, Bolin Ding, Yin Yang, and Xiaokui Xiao
    In Proceedings of the IEEE International Conference on Data Engineering (ICDE), 2026.

  3. CausalPre: Scalable and Effective Data Pre-Processing for Causal Fairness
    Ying Zheng, Yangfan Jiang, and Kian-Lee Tan
    In Proceedings of the IEEE International Conference on Data Engineering (ICDE), 2026.

  4. Robust Size Estimation of Online Social Networks via Subgraph Sampling
    Yangfan Jiang, Yao Fu, Yipeng Zhou, and Di Wu
    IEEE Transactions on Network Science and Engineering (TNSE), 7(4): 2702-2713, 2020.

AI Security

  1. Passive Inference Attacks on Split Learning via Adversarial Regularization
    Xiaochen Zhu, Xinjian Luo, Yuncheng Wu, Yangfan Jiang, Xiaokui Xiao, and Beng Chin Ooi
    In Proceedings of the Network and Distributed System Security Symposium (NDSS), 2025.

  2. Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An Adversarial Perspective
    Xinjian Luo, Yangfan Jiang, Fei Wei, Yuncheng Wu, Xiaokui Xiao, and Beng Chin Ooi
    IEEE Transactions on Information Forensics and Security (TIFS), 19: 8109-8124, 2024.

  3. Feature Inference Attack on Shapley Values
    Xinjian Luo, Yangfan Jiang, and Xiaokui Xiao
    In Proceedings of the ACM Conference on Computer and Communications Security (CCS), 2022.

  4. On the Detection of Shilling Attacks in Federated Collaborative Filtering
    Yangfan Jiang, Yipeng Zhou, Di Wu, Chao Li, and Yan Wang
    In Proceedings of the IEEE International Symposium on Reliable Distributed Systems (SRDS), 2020.

Academic Services

Program Committee Member: Journal Reviewer: