| 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 | 43 | 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 | 33 | 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 33rd USENIX Security Symposium (USENIX Security 24), 6795-6812, 2024 | 7* | 2024 |
| 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 | 6 | 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 Proceedings of the Thirty-ThirdInternational Joint Conference on Artificial …, 2024 | 1* | 2024 |
