| Salun: Empowering machine unlearning via gradient-based weight saliency in both image classification and generation C Fan, J Liu, Y Zhang, D Wei, E Wong, S Liu International Conference on Learning Representations (Spotlight), 2023 | 36 | 2023 |
| UnlearnCanvas: A Stylized Image Dataset to Benchmark Machine Unlearning for Diffusion Models Y Zhang, C Fan, Y Zhang, Y Yao, J Jia, J Liu, G Zhang, G Liu, ... arXiv preprint arXiv:2402.11846, 2024 | 8 | 2024 |
| Challenging forgets: Unveiling the worst-case forget sets in machine unlearning C Fan, J Liu, A Hero, S Liu European Conference on Computer Vision, 2024 | 4 | 2024 |
| Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models Y Zhang, X Chen, J Jia, Y Zhang, C Fan, J Liu, M Hong, K Ding, S Liu arXiv preprint arXiv:2405.15234, 2024 | 2 | 2024 |
Sijia LiuMichigan State University & MIT-IBM Watson AI Lab在 msu.edu 的电子邮件经过验证
