Dr.Anxiao Song

Assistant Professor Master Supervisor

Email:axsong@cityu.edu.mo

Tel: (853)8590 2388

Office address:  Room S504, Stanley Ho Building, City University of Macau (Taipa)

Academic Qualifications

2022 Ph.D. in Computer Science and Technology, Xidian University, China

2019 B.Eng. in Software Engineering, Henan University of Technology, China

Research Interests:

Privacy-Preserving Computing

Large Language Model (LLM) Security

Research & Publications:

[1] Song, A., Cheng, K., Fu, J., Cui, S., Zhang, T., Chang, Z., & Shen, Y. (2025). Private learning for vertical decision trees: A secure, accurate, and fast realization. IEEE Transactions on Dependable and Secure Computing. https://doi.org/10.1109/TDSC.2025.3579742

[2] Song, A., Cui, S., Cheng, K., Bai, J., Wang, Q., Lai, S., Russello, G., & Shen, Y. (2026). FSS-DT: Secure division-free decision tree training and inference via function secret sharing. IEEE Transactions on Dependable and Secure Computing. https://doi.org/10.1109/TDSC.2026.3695949

[3] Song, A., Cui, S., Bai, J., Cheng, K., Shen, Y., & Russello, G. (2025). Guard-GBDT: Efficient privacy-preserving approximated GBDT training on vertical dataset. In Proceedings of the International Symposium on Research in Attacks, Intrusions, and Defenses (RAID 2025).

[4] Song, A., Li, H., Cheng, K., Zhang, T., Sun, A., & Shen, Y. (2024). Guard-FL: An UMAP-assisted robust aggregation for federated learning. IEEE Internet of Things Journal, 11(16), 27557–27570. https://doi.org/10.1109/JIOT.2024.3399259

[5] Song, A., Zhang, T., Cheng, K., Cao, Y., Zhu, X., & Shen, Y. (2025). Byzantine-robust federated learning framework via a server-client defense mechanisms. IEEE Internet of Things Journal, 12(14), 29073–29088. https://doi.org/10.1109/JIOT.2025.3568443

[6] Zhang, T., Song, A., Dong, X., Shen, Y., & Ma, J. (2022). Privacy-preserving asynchronous grouped federated learning for IoT. IEEE Internet of Things Journal, 9(7), 5511–5523. https://doi.org/10.1109/JIOT.2021.3111088

[7] Cheng, K., Xia, Y., Song, A., Fu, J., Qu, W., Shen, Y., & Zhang, J. (2025). Mosformer: Maliciously secure three-party inference framework for large transformers. In Proceedings of the 32nd ACM Conference on Computer and Communications Security (CCS 2025).