| 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 | 471 | 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 | 132* | 2022 |
| When foundation model meets federated learning: Motivations, challenges, and future directions W Zhuang, C Chen, L Lyu arXiv preprint arXiv:2306.15546, 2023 | 97 | 2023 |
| A pathway towards responsible ai generated content C Chen, J Fu, L Lyu arXiv preprint arXiv:2303.01325, 2023 | 94 | 2023 |
| 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 | 76 | 2022 |
| Towards geospatial foundation models via continual pretraining M Mendieta, B Han, X Shi, Y Zhu, C Chen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 75* | 2023 |
| Practical attribute reconstruction attack against federated learning C Chen, L Lyu, H Yu, G Chen IEEE Transactions on Big Data, 2022 | 71* | 2022 |
| Detecting, explaining, and mitigating memorization in diffusion models Y Wen, Y Liu, C Chen, L Lyu The Twelfth International Conference on Learning Representations, 2024 | 49 | 2024 |
| 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 | 49 | 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 | 48 | 2019 |
| Dipping plms sauce: Bridging structure and text for effective knowledge graph completion via conditional soft prompting C Chen, Y Wang, A Sun, B Li, KY Lam arXiv preprint arXiv:2307.01709, 2023 | 46 | 2023 |
| 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 | 41* | 2022 |
| Robust federated recommendation system C Chen, J Zhang, AKH Tung, M Kankanhalli, G Chen arXiv preprint arXiv:2006.08259, 2020 | 37 | 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 | 35 | 2023 |
| In-context learning with iterative demonstration selection C Qin, A Zhang, C Chen, A Dagar, W Ye arXiv preprint arXiv:2310.09881, 2023 | 34 | 2023 |
| 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 | 27* | 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 | 27 | 2020 |
| Threats, attacks, and defenses in machine unlearning: A survey Z Liu, H Ye, C Chen, Y Zheng, KY Lam arXiv preprint arXiv:2403.13682, 2024 | 25 | 2024 |
| Federated few-shot learning S Wang, X Fu, K Ding, C Chen, H Chen, J Li Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 24 | 2023 |
| Diagnosis: Detecting unauthorized data usages in text-to-image diffusion models Z Wang, C Chen, L Lyu, DN Metaxas, S Ma arXiv preprint arXiv:2307.03108, 2023 | 24 | 2023 |
Lingjuan LyuSonyΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα sony.com