| Dealer: an end-to-end model marketplace with differential privacy J Liu, J Lou, J Liu, L Xiong, J Pei, J Sun Proceedings of the VLDB Endowment 14 (6), 2021 | 74 | 2021 |
| Projected federated averaging with heterogeneous differential privacy J Liu, J Lou, L Xiong, J Liu, X Meng Proceedings of the VLDB Endowment 15 (4), 828-840, 2021 | 54 | 2021 |
| Muter: Machine unlearning on adversarially trained models J Liu, M Xue, J Lou, X Zhang, L Xiong, Z Qin Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 21 | 2023 |
| Demonstration of dealer: An end-to-end model marketplace with differential privacy Q Lin, J Zhang, J Liu, K Ren, J Lou, J Liu, L Xiong, J Pei, J Sun Proceedings of the VLDB Endowment 14 (12), 2747-2750, 2021 | 15 | 2021 |
| 机器学习的隐私保护研究综述 刘俊旭， 孟小峰 计算机研究与发展 57 (2), 346-362, 2020 | 13 | 2020 |
| 数据垄断与其治理模式研究 孟小峰， 朱敏杰， 刘立新， 刘俊旭 信息安全研究 9, 789-797, 2019 | 6 | 2019 |
| Cross-silo Federated Learning with Record-level Personalized Differential Privacy J Liu, J Lou, L Xiong, J Liu, X Meng Proceedings of the 2024 ACM SIGSAC Conference on Computer and Communications …, 2024 | 3 | 2024 |
| Personalized Differentially Private Federated Learning without Exposing Privacy Budgets J Liu, J Lou, L Xiong, X Meng Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 3 | 2023 |
| 人工智能时代的数据隐私, 垄断与公平 孟小峰， 王雷霞， 刘俊旭 大数据 6 (1), 0, 2020 | 3 | 2020 |
| Large-scale App privacy governance Z Li, Z Fan, J Liu, L Wang, X Meng Frontiers of Engineering Management 9 (4), 640-652, 2022 | 1 | 2022 |
| 大规模用户隐私风险量化研究 孟小峰， 朱敏杰， 刘俊旭 信息安全研究 5 (9), 778, 2019 | 1 | 2019 |
Li XiongSamuel Dobbs Professor, Computer Science, Biomedical Informatics, Emory University在 emory.edu 的电子邮件经过验证
