| Towards understanding and enhancing robustness of deep learning models against malicious unlearning attacks W Qian, C Zhao, W Le, M Ma, M Huai Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 24 | 2023 |
| Static and sequential malicious attacks in the context of selective forgetting C Zhao, W Qian, R Ying, M Huai Advances in Neural Information Processing Systems 36, 74966-74979, 2023 | 17 | 2023 |
| Patient similarity learning with selective forgetting W Qian, C Zhao, H Shao, M Chen, F Wang, M Huai 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | 9 | 2022 |
| Automated natural language explanation of deep visual neurons with large models C Zhao, W Qian, Y Shi, M Huai, N Liu arXiv preprint arXiv:2310.10708, 2023 | 6 | 2023 |
| Towards Modeling Uncertainties of Self-explaining Neural Networks via Conformal Prediction W Qian, C Zhao, Y Li, F Ma, C Zhang, M Huai Proceedings of the AAAI Conference on Artificial Intelligence 38 (13), 14651 …, 2024 | 4 | 2024 |
| Data poisoning attacks against conformal prediction Y Li, A Chen, W Qian, C Zhao, D Lidder, M Huai Forty-first International Conference on Machine Learning, 2024 | 3 | 2024 |
| Rethinking Adversarial Robustness in the Context of the Right to be Forgotten C Zhao, W Qian, Y Li, W Li, M Huai | 3 | |
| A survey of security and privacy issues of machine unlearning A Chen, Y Li, C Zhao, M Huai AI Magazine 46 (1), e12209, 2025 | 1 | 2025 |
| Exploring Fairness in Educational Data Mining in the Context of the Right to be Forgotten W Qian, A Chen, C Zhao, Y Li, M Huai arXiv preprint arXiv:2405.16798, 2024 | 1 | 2024 |
| Bridging model heterogeneity in federated learning via uncertainty-based asymmetrical reciprocity learning J Wang, C Zhao, L Lyu, Q You, M Huai, F Ma arXiv preprint arXiv:2407.03247, 2024 | | 2024 |
| Automated natural language explanation of deep visual neurons with large models (student abstract) C Zhao, W Qian, Y Shi, M Huai, N Liu Proceedings of the AAAI Conference on Artificial Intelligence 38 (21), 23712 …, 2024 | | 2024 |
| Adaptive Gaussian Process Spectral Kernel Learning for 5G Wireless Traffic Prediction X Zhang, C Zhao, Y Yang, Z Lin, J Wang, F Yin 2022 IEEE 32nd International Workshop on Machine Learning for Signal …, 2022 | | 2022 |