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 Proceedings of the VLDB Endowment 16 (2), 202–215, 2022 | 14 | 2022 |
Location privacy-aware task offloading in mobile edge computing Z Wang, Y Sun, D Liu, J Hu, X Pang, Y Hu, K Ren IEEE Transactions on Mobile Computing, 2023 | 9 | 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 | 5 | 2023 |
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 | 5 | 2023 |
ERASER: Machine Unlearning in MLaaS via an Inference Serving-Aware Approach Y Hu, J Lou, J Liu, F Lin, Z Qin, K Ren arXiv preprint arXiv:2311.16136, 2023 | 1 | 2023 |
Towards Efficient Edge Learning for Large Models in Heterogeneous Resource-limited Environments D Liu, Z Wang, X Pang, Y Sun, J Hu, P Sun, Y Hu 2023 9th International Conference on Big Data Computing and Communications …, 2023 | | 2023 |
SWAT: A System-Wide Approach to Tunable Leakage Mitigation in Encrypted Data Stores L Zheng, L Xu, C Wang, S Wang, Y Hu, Z Qin, F Li, K Ren arXiv preprint arXiv:2306.16851, 2023 | | 2023 |