| Pfa: Privacy-preserving federated adaptation for effective model personalization B Liu, Y Guo, X Chen Proceedings of the Web Conference 2021, 923-934, 2021 | 89 | 2021 |
| Recent advances on federated learning: A systematic survey B Liu, N Lv, Y Guo, Y Li Neurocomputing, 128019, 2024 | 80 | 2024 |
| Transtailor: Pruning the pre-trained model for improved transfer learning B Liu, Y Cai, Y Guo, X Chen Proceedings of the AAAI conference on artificial intelligence 35 (10), 8627-8634, 2021 | 70 | 2021 |
| ModelDiff: Testing-based DNN similarity comparison for model reuse detection Y Li, Z Zhang, B Liu, Z Yang, Y Liu Proceedings of the 30th ACM SIGSOFT International Symposium on Software …, 2021 | 56 | 2021 |
| ReMoS: reducing defect inheritance in transfer learning via relevant model slicing Z Zhang, Y Li, J Wang, B Liu, D Li, Y Guo, X Chen, Y Liu Proceedings of the 44th International Conference on Software Engineering …, 2022 | 47 | 2022 |
| Pmc: A privacy-preserving deep learning model customization framework for edge computing B Liu, Y Li, Y Liu, Y Guo, X Chen Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2020 | 30 | 2020 |
| Distfl: Distribution-aware federated learning for mobile scenarios B Liu, Y Cai, Z Zhang, Y Li, L Wang, D Li, Y Guo, X Chen Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2021 | 26 | 2021 |
| Trust2Privacy: A novel fuzzy trust-to-privacy mechanism for mobile social networks G Xu, B Liu, L Jiao, X Li, M Feng, K Liang, L Ma, X Zheng IEEE wireless communications 27 (3), 72-78, 2020 | 25 | 2020 |
| Multi-view scholar clustering with dynamic interest tracking A Li, Y Li, Y Shao, B Liu IEEE Transactions on Knowledge and Data Engineering 35 (9), 9671-9684, 2023 | 21 | 2023 |
| No privacy left outside: On the (in-) security of tee-shielded dnn partition for on-device ml Z Zhang, C Gong, Y Cai, Y Yuan, B Liu, D Li, Y Guo, X Chen 2024 IEEE Symposium on Security and Privacy (SP), 3327-3345, 2024 | 18 | 2024 |
| FedSlice: Protecting Federated Learning Models from Malicious Participants with Model Slicing Z Zhang, Y Li, B Liu, Y Cai, D Li, Y Guo, X Chen 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023 | 11 | 2023 |
| WealthAdapt: A general network adaptation framework for small data tasks B Liu, Y Guo, X Chen Proceedings of the 27th ACM International Conference on Multimedia, 2179-2187, 2019 | 11 | 2019 |
| Teeslice: slicing dnn models for secure and efficient deployment Z Zhang, LKL Ng, B Liu, Y Cai, D Li, Y Guo, X Chen Proceedings of the 2nd ACM International Workshop on AI and Software Testing …, 2022 | 10 | 2022 |
| Beyond Fine-Tuning: Efficient and Effective Fed-Tuning for Mobile/Web Users B Liu, Y Cai, H Bi, Z Zhang, D Li, Y Guo, X Chen Proceedings of the ACM Web Conference 2023, 2863-2873, 2023 | 6 | 2023 |
| Traceable Federated Continual Learning Q Wang, B Liu, Y Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 3 | 2024 |
| Image-based molecular representation learning for drug development: a survey Y Li, B Liu, J Deng, Y Guo, H Du Briefings in Bioinformatics 25 (4), bbae294, 2024 | 1 | 2024 |
| {FAMOS}: Robust {Privacy-Preserving} Authentication on Payment Apps via Federated {Multi-Modal} Contrastive Learning Y Cai, Z Zhang, J Gui, B Liu, X Zhao, R Li, Z Li, D Li 33rd USENIX Security Symposium (USENIX Security 24), 289-306, 2024 | | 2024 |
