| OpBoost: a vertical federated tree boosting framework based on order-preserving desensitization X Li, Y Hu, W Liu, H Feng, L Peng, Y Hong, K Ren, Z Qin 49th International Conference on Very Large Data Bases 16 (2), 202-215, 2022 | 23 | 2022 |
| Privacy enhancement via dummy points in the shuffle model X Li, W Liu, H Feng, K Huang, Y Hu, J Liu, K Ren, Z Qin IEEE Transactions on Dependable and Secure Computing, 2023 | 18* | 2023 |
| Quantifying and defending against privacy threats on federated knowledge graph embedding Y Hu, W Liang, R Wu, K Xiao, W Wang, X Li, J Liu, Z Qin Proceedings of the ACM Web Conference 2023, 2306-2317, 2023 | 15 | 2023 |
| Local differentially private heavy hitter detection in data streams with bounded memory X Li, W Liu, J Lou, Y Hong, L Zhang, Z Qin, K Ren Proceedings of the ACM on Management of Data 2 (1), 1-27, 2024 | 9 | 2024 |
| DPI: Ensuring Strict Differential Privacy for Infinite Data Streaming S Feng, M Mohammady, H Wang, X Li, Z Qin, Y Hong 2024 IEEE Symposium on Security and Privacy (SP), 2023 | 6 | 2023 |
| SPAS: Continuous Release of Data Streams under w-Event Differential Privacy X Li, T Li, Y Cheng, C Gong, K Ren, Z Qin, T Wang Proceedings of the ACM on Management of Data 3 (1), 1-27, 2025 | | 2025 |
| Privacy Risks of Federated Knowledge Graph Embedding: New Membership Inference Attacks and Personalized Differential Privacy Defense Y Hu, Y Wang, J Lou, W Liang, R Wu, W Wang, X Li, J Liu, Z Qin IEEE Transactions on Dependable and Secure Computing, 2024 | | 2024 |
Weiran LiuStaff Security Engineer, Alibaba GroupEmail verificata su alibaba-inc.com