| Privacy and robustness in federated learning: Attacks and defenses L Lyu, H Yu, X Ma, C Chen, L Sun, J Zhao, Q Yang, PS Yu TNNLS'22, 2022 | 259 | 2022 |
| DENSE: Data-Free One-Shot Federated Learning J Zhang, C Chen, B Li, L Lyu, S Wu, S Ding, C Shen, C Wu The 36th Annual Conference on Neural Information Processing Systems (NeurIPS …, 2022 | 71* | 2022 |
| Practical attribute reconstruction attack against federated learning C Chen, L Lyu, H Yu, G Chen IEEE Transactions on Big Data, 2022 | 45* | 2022 |
| A pathway towards responsible ai generated content C Chen, J Fu, L Lyu arXiv preprint arXiv:2303.01325, 2023 | 43 | 2023 |
| Two-stage label embedding via neural factorization machine for multi-label classification C Chen, H Wang, W Liu, X Zhao, T Hu, G Chen Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3304-3311, 2019 | 40 | 2019 |
| When foundation model meets federated learning: Motivations, challenges, and future directions W Zhuang, C Chen, L Lyu arXiv preprint arXiv:2306.15546, 2023 | 34 | 2023 |
| Robust federated recommendation system C Chen, J Zhang, AKH Tung, M Kankanhalli, G Chen arXiv preprint arXiv:2006.08259, 2020 | 29 | 2020 |
| CalFAT: Calibrated Federated Adversarial Training with Label Skewness C Chen, Y Liu, X Ma, L Lyu The 36th Annual Conference on Neural Information Processing Systems (NeurIPS …, 2022 | 23* | 2022 |
| Delving into the adversarial robustness of federated learning J Zhang, B Li, C Chen, L Lyu, S Wu, S Ding, C Wu Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 11245 …, 2023 | 17 | 2023 |
| Incorporating label embedding and feature augmentation for multi-dimensional classification H Wang, C Chen, W Liu, K Chen, T Hu, G Chen Proceedings of the AAAI conference on artificial intelligence 34 (04), 6178-6185, 2020 | 17 | 2020 |
| Extracted BERT Model Leaks More Information than You Think! X He, C Chen, L Lyu, Q Xu EMNLP’22, 2022 | 16* | 2022 |
| Decision boundary-aware data augmentation for adversarial training C Chen, J Zhang, X Xu, L Lyu, C Chen, T Hu, G Chen IEEE Transactions on Dependable and Secure Computing, 2022 | 16* | 2022 |
| CAMO: A collaborative ranking method for content based recommendation C Wang, T Zhou, C Chen, T Hu, G Chen Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5224-5231, 2019 | 15 | 2019 |
| Online partial label learning H Wang, Y Qiang, C Chen, W Liu, T Hu, Z Li, G Chen Machine Learning and Knowledge Discovery in Databases: European Conference …, 2021 | 14 | 2021 |
| Off-policy recommendation system without exploration C Wang, T Zhou, C Chen, T Hu, G Chen Advances in Knowledge Discovery and Data Mining: 24th Pacific-Asia …, 2020 | 11 | 2020 |
| How to detect unauthorized data usages in text-to-image diffusion models Z Wang, C Chen, Y Liu, L Lyu, D Metaxas, S Ma arXiv preprint arXiv:2307.03108, 2023 | 9 | 2023 |
| Addressing catastrophic forgetting in federated class-continual learning J Zhang, C Chen, W Zhuang, L Lv arXiv preprint arXiv:2303.06937, 2023 | 9 | 2023 |
| Qekd: query-efficient and data-free knowledge distillation from black-box models J Zhang, C Chen, J Dong, R Jia, L Lyu arXiv preprint arXiv:2205.11158, 2022 | 8 | 2022 |
| Is heterogeneity notorious? taming heterogeneity to handle test-time shift in federated learning Y Tan, C Chen, W Zhuang, X Dong, L Lyu, G Long Advances in Neural Information Processing Systems 36, 2024 | 6 | 2024 |
| Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting Y Liu, C Chen, L Lyu, F Wu, S Wu, G Chen ICML 2023, 2023 | 6 | 2023 |
Lingjuan LyuSony AIVerified email at sony.com
