About Me
Welcome to my academic website! I'm a 4th year PhD candidate at HKUST. Currently, I am visiting safe AI lab for working on privacy problem in Transportation, supervised by Prof. Ding Zhao. I am fortunately supervised by Prof. Songze Li and Prof. Yangqiu Song. My research focuses on privacy and security in ML, federated learning (FL).
Publications
- Li, S., Yao, D., & Liu, J. (2023). "FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models". In Proceedings of the 40th International Conference on Machine Learning(ICML2023).
- Li, H., Guo, D., Li, D., Fan, W., Hu, Q., Liu, X., Chan, C., Yao, D., Yao, Y., & Song, Y. (2024). "PrivLM-Bench: A Multi-level Privacy Evaluation Benchmark for Language Models". In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics(ACL2024).
- Yao, D., Li, S., Xue, Y., & Liu, J. (2023). "Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit". In Proceedings of the Twelfth International Conference on Learning Representations(ICLR2024).
- Guo, Z., Yao, D., Yang, Q., & Liu, H. (2024). "HiFGL: A Hierarchical Framework for Cross-silo Cross-device Federated Graph Learning". In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining(KDD2024).
- Yao, D., Li, S., Gong, X., Hou, S., & Pan, G. (2024). "Leveraging Label Information for Stealthy Data Stealing in Vertical Federated Learning". In The Network and Distributed System Security Symposium 2025 (NDSS2025).
Contact
Email: dyao@connect.ust.hk
Google Scholar: View my Google Scholar profile