| Visual privacy attacks and defenses in deep learning: a survey G Zhang, B Liu, T Zhu, A Zhou, W Zhou Artificial Intelligence Review 55 (6), 4347-4401, 2022 | 33 | 2022 |
| Label-only membership inference attacks and defenses in semantic segmentation models G Zhang, B Liu, T Zhu, M Ding, W Zhou IEEE Transactions on Dependable and Secure Computing 20 (2), 1435-1449, 2022 | 29 | 2022 |
| How Does a Deep Learning Model Architecture Impact Its Privacy? A Comprehensive Study of Privacy Attacks on CNNs and Transformers G Zhang, B Liu, H Tian, T Zhu, M Ding, W Zhou arXiv preprint arXiv:2210.11049, 2023 | 4 | 2023 |
| PPFed: A Privacy-Preserving and Personalized Federated Learning Framework G Zhang, B Liu, T Zhu, M Ding, W Zhou IEEE Internet of Things Journal, 2024 | 3 | 2024 |
| When Fairness Meets Privacy: Exploring Privacy Threats in Fair Binary Classifiers via Membership Inference Attacks H Tian, G Zhang, B Liu, T Zhu, M Ding, W Zhou arXiv preprint arXiv:2311.03865, 2023 | 1* | 2023 |
