Xinjian Luo（罗欣剑）

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Researcher
Mohamed bin Zayed University of Artificial Intelligence

Bio

I am a researcher at Mohamed bin Zayed University of Artificial Intelligence, working closely with Prof. Ting Yu. I recently completed my Ph.D. at the School of Computing, National University of Singapore, under the guidance of Prof. Xiaokui Xiao.

In 2019, I received my master's degree in Computer Science from Shanghai Jiao Tong University (SJTU), where I worked with Prof. Xiaofeng Gao on my master's thesis. Additionally, I collaborated with Prof. Xiaochun Yang on distributed metadata management and Prof. Qianni Deng on designing two-stage exams to enhance student performance. Prior to joining SJTU, I earned my bachelor's degree in Software Engineering from Dalian University of Technology in 2016, where I worked with Prof. Bin Liu on computer-assisted surgeries and Prof. Cheng Guo on secret image sharing. These experiences have enabled me to accumulate valuable insights, hone my technical skills, and gain a better understanding of the computer science landscape.

Contact

xinjian (dot) luo [at] mbzuai (dot) ac (dot) ae

Research Interests

  • Security and Privacy in Machine Learning

  • Interpretability in Machine Learning

  • Federated Learning

  • Large Language Models

Selected Papers

  1. Calibrating Noise for Group Privacy in Subsampled Mechanisms
    Yangfan Jiang, Xinjian Luo, Yin Yang, Xiaokui Xiao
    In the 51st International Conference on Very Large Data Bases (VLDB 2025), to appear.

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

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

  4. On Data Distribution Leakage in Cross-Silo Federated Learning
    Yangfan Jiang, Xinjian Luo, Yuncheng Wu, Xiaochen Zhu, Xiaokui Xiao, Beng Chin Ooi
    In IEEE Transactions on Knowledge and Data Engineering (Vol. 36.7, 2024).

  5. Protecting Label Distribution in Cross-Silo Federated Learning
    Yangfan Jiang, Xinjian Luo, Yuncheng Wu, Xiaokui Xiao, Beng Chin Ooi
    In the 45th IEEE Symposium on Security and Privacy (SP 2024).

  6. Feature Inference Attack on Shapley Values
    Xinjian Luo, Yangfan Jiang, Xiaokui Xiao
    In the 29th ACM Conference on Computer and Communications Security (CCS 2022).

  7. A Fusion-Denoising Attack on InstaHide with Data Augmentation
    Xinjian Luo, Xiaokui Xiao, Yuncheng Wu, Juncheng Liu and Beng Chin Ooi
    In the 36th AAAI Conference on Artificial Intelligence (AAAI 2022).

  8. Feature Inference Attack on Model Predictions in Vertical Federated Learning
    Xinjian Luo, Yuncheng Wu, Xiaokui Xiao, and Beng Chin Ooi
    In the 38th IEEE International Conference on Data Engineering (ICDE 2021).

  9. Accelerate Data Retrieval by Multi-Dimensional Indexing in Switch-Centric Data Centers
    Xinjian Luo, Xiaofeng Gao, Guihai Chen
    In The Computer Journal (Vol. 62.2, 2019).

  10. D2-Tree: A Distributed Double-Layer Namespace Tree Partition Scheme for Metadata Management in Large-Scale Storage Systems
    Xinjian Luo, Xiaofeng Gao, Zhaowei Tan, Jiaxi Liu, Xiaochun Yang, Guihai Chen
    In the 38th IEEE International Conference on Distributed Computing Systems (ICDCS 2018).

  11. Virtual plate pre-bending for the long bone fracture based on axis pre-alignment
    Bin Liu, Xinjian Luo, Rui Huang, Chao Wan, Bingbing Zhang, Weihua Hu, Zongge Yue
    In Computerized Medical Imaging and Graphics (Vol. 38.4, 2014. Cover Paper).