Dr. Yanna Jiang

Assistant Professor Master Supervisor

Email: ynjiang@cityu.edu.mo

Academic Qualifications

2025 Ph.D. in Information Systems, University of Technology Sydney, Australia

2020 Master of Science in Applied Mathematics, Zhejiang University, China

2017 Bachelor of Science in Information and Computing Science, Zhejiang University, China

Research Interests

Trustworthy AI

AI Security & Data Privacy

Cybersecurity

Distributed Systems

Federated Learning & Split Learning

Research & Publications

Refereed Journal Articles

Jiang, Y., Ma, B., Wang, X., Yu, G., Yu, P., Wang, Z., Ni, W., & Liu, R. P. (2024). Blockchained Federated Learning for Internet of Things: A comprehensive survey. ACM Computing Surveys, 56(10), 1–37. (IF=30.4; 5Y-IF=31.4; Rank: Q1, 1/146)

Jiang, Y., Ma, B., Wang, X., Yu, G., Sun, C., Ni, W., & Liu, R. P. (2024). Preventing harm to the rare in combating the malicious: A filtering-and-voting framework with adaptive aggregation in federated learning. Neurocomputing, 604, 128317. (IF=6.7; 5Y-IF=6.4; Rank: Q1, 37/204) 

Jiang, Y., Ma, B., Wang, X., Yu, G., Sun, C., Ni, W., & Liu, R. P. (2025). Exploiting attribute correlation for reconstruction attacks on differentially private multi-attributed data. Journal of Information Security and Applications, 94, 104224. (IF=4.4; 5Y-IF=4.4; Rank: Q1, 88/258) 

Deng, H., Jiang, Y.*, Yu, G., Wang, Q., Wang, X., Ni, W., Chen, S., & Liu, R. P. (2026). Client-cooperative split learning. IEEE Transactions on Services Computing, 19(2), 991-1004. (IF=6.2; 5Y-IF=5.09; Rank: Q1, 17/144)

Ma, B., Wang, X., Yu, G., Sun, C., Jiang, Y.*, Zhu, S., Liu, B., He, Y., Ni, W., & Liu, R. P. (2026). A joint trajectory obfuscation and pseudonym swapping mechanism avoiding extra privacy cost. IEEE Transactions on Intelligent Transportation Systems, 27(6), 6994-7010. (IF=9.1; 5Y-IF=10.4; Rank: Q1, 4/37)

Refereed Conference Proceedings

Jiang, Y., Yu, G., Wang, Q., Wang, X., Ma, B., Sun, C., Ni, W., & Liu, R. P. (2025). Split unlearning. In Proceedings of the 32nd ACM Conference on Computer and Communications Security (ACM CCS 2025) (pp. 1–15). ACM. (CCF-A, Top-tier Security Conference; Distinguished Paper Award)  

Jiang, Y., Ma, B., Wang, X., Yu, G., Sun, C., Ni, W., & Liu, R. P. (2022). A secure aggregation for federated learning on long-tailed data. In NeurIPS 2022 Workshop on Trustworthy and Socially Responsible Machine Learning (TSRML). (CCF-A, Top-tier AI Conference Workshop)

Jiang, Y., Deng, H., Wang, Q., Yu, G., Wang, X., Sai, Y., Chen, S., Ni, W., & Liu, R. P. (2025). SoK: Credential-based trust management in decentralized ledger systems. In Proceedings of the 24th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom 2025) (pp. 1–8). IEEE.

Deng, H., Dang, X., Jiang, Y., Wang, X., Yu, G., Ni, W., & Liu, R. P. (2024). FedNIFW: Non-interfering fragmented watermarking for federated deep neural network. In Proceedings of the 23rd IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom 2024) (pp. 1–8). IEEE.

Ma, B., Wang, X., Yu, G., Jiang, Y., & Lin, X. (2024). Adaptive cloaking region obfuscation in road networks. In Proceedings of the 3rd Conference on Fully Actuated System Theory and Applications (FASTA 2024) (pp. 1–6). IEEE.

Ma, B., Zhao, Y., Wang, X., Jiang, Y., Li, J., Ni, W., & Liu, R. P. (2023). Differential privacy-based location privacy protection with Hilbert curve in vehicular networks. In Proceedings of the 2nd International Conference on Network Simulation and Evaluation (NSE 2023) (pp. 1–6). IEEE.

Academic Awards

2025 Distinguished Paper Award, ACM Conference on Computer and Communications Security (ACM CCS 2025)