| 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 | 313 | 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 | 84* | 2022 |
| A pathway towards responsible ai generated content C Chen, J Fu, L Lyu arXiv preprint arXiv:2303.01325, 2023 | 56 | 2023 |
| When foundation model meets federated learning: Motivations, challenges, and future directions W Zhuang, C Chen, L Lyu arXiv preprint arXiv:2306.15546, 2023 | 53 | 2023 |
| Practical attribute reconstruction attack against federated learning C Chen, L Lyu, H Yu, G Chen IEEE Transactions on Big Data, 2022 | 51* | 2022 |
| 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 | 42 | 2019 |
| Robust federated recommendation system C Chen, J Zhang, AKH Tung, M Kankanhalli, G Chen arXiv preprint arXiv:2006.08259, 2020 | 32 | 2020 |
| RAIN: regularization on input and network for black-box domain adaptation Q Peng, Z Ding, L Lyu, L Sun, C Chen arXiv preprint arXiv:2208.10531, 2022 | 28 | 2022 |
| 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 | 27* | 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 20 (3), 1882-1894, 2022 | 21* | 2022 |
| 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 | 21 | 2020 |
| 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 | 19 | 2023 |
| Extracted BERT Model Leaks More Information than You Think! X He, C Chen, L Lyu, Q Xu EMNLP’22, 2022 | 17* | 2022 |
| 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 | 16 | 2021 |
| 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 | 16 | 2019 |
| Target: Federated class-continual learning via exemplar-free distillation J Zhang, C Chen, W Zhuang, L Lyu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 15 | 2023 |
| 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 | 12 | 2020 |
| Addressing catastrophic forgetting in federated class-continual learning J Zhang, C Chen, W Zhuang, L Lv arXiv preprint arXiv:2303.06937 1 (6), 2023 | 10 | 2023 |
| A Pathway Towards Responsible AI Generated Content. L Lyu, C Chen, J Fu IJCAI, 7033-7038, 2023 | 9 | 2023 |
| Diagnosis: Detecting unauthorized data usages in text-to-image diffusion models Z Wang, C Chen, L Lyu, DN Metaxas, S Ma The Twelfth International Conference on Learning Representations, 2023 | 9 | 2023 |
Lingjuan LyuSony AIVerified email at sony.com
