宋安霄 (Anxiao Song)

Anxiao Song

City University of Macau

Anxiao Song is currently pursuing a Ph.D. in Computer Science and Technology at Xidian University under Prof. Yulong Shen. He was a visiting researcher at the University of Auckland (2024–2025) under Prof. Giovanni Russello, funded by the China Scholarship Council. He received his B.E. in Software Engineering from Henan University of Technology. He will join the City University of Macau as a faculty member in August 2026. His research interests include secure multiparty computation (MPC), federated learning, privacy-preserving machine learning, collaborative security for small and large models, and applied cryptography.

🎓 Education

📝 Selected Publications

  • Anxiao Song, Shujie Cui, Ke Cheng, Jianli Bai, Qifan Wang, Shangqi Lai, Giovanni Russello, Yulong Shen. FSS-DT: Secure Division-free Decision Tree Training and Inference via Function Secret Sharing[J]. IEEE Transactions on Dependable and Secure Computing, 2026. (Accepted, CCF-A)

  • Anxiao Song, Ke Cheng, Jiaxuan Fu, et al. Private Learning for Vertical Decision Trees: A Secure, Accurate, and Fast Realization[J]. IEEE Transactions on Dependable and Secure Computing, vol. 22, no. 6, pp. 6088-6103, Nov.-Dec. 2025. (CCF-A)
    [Paper]

  • Anxiao Song, Shujie Cui, Jianli Bai, et al. Guard-GBDT: Efficient Privacy-Preserving Approximated GBDT Training on Vertical Dataset[C]. 2025 28th International Symposium on Research in Attacks, Intrusions and Defenses (RAID). IEEE, 2025: 741-756. (CCF-B)
    [Paper]

  • Anxiao Song, Haoshu Li, Ke Cheng, et al. Guard-FL: An UMAP-assisted robust aggregation for federated learning[J]. IEEE Internet of Things Journal, 2024, 11(16): 27557-27570. (CAS Q1)
    [Paper]

  • Anxiao Song, Tao Zhang, Ke Cheng, et al. Byzantine-Robust Federated Learning Framework via a Server-Client Defense Mechanisms[J]. IEEE Internet of Things Journal, vol. 12, no. 14, pp. 29073-29088, 15 July 2025. (CAS Q1)
    [Paper]

  • Ke Cheng, Yuheng Xia, Anxiao Song, et al. Mosformer: Maliciously Secure Three-Party Inference Framework for Large Transformers[C]. Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security (CCS ‘25). ACM, 2025: 4124–4138. (CCF-A)
    [Paper]

🏅 Honors

  • GitCode Top 10 Open-Source Project Award (NssMPClib)

🔬 Review Service

  • IEEE Transactions on Sustainable Computing (TSC)
  • IEEE Transactions on Dependable and Secure Computing (TDSC)
  • IEEE Transactions on Information Forensics and Security (TIFS)

💼 Experience

  • 2026.08 – Present, Assistant Professor, City University of Macau