| : Private Federated Learning for GBDT Z Tian, R Zhang, X Hou, L Lyu, T Zhang, J Liu, K Ren IEEE Transactions on Dependable and Secure Computing, 2023 | 85 | 2023 |
| “adversarial examples” for proof-of-learning R Zhang, J Liu, Y Ding, Z Wang, Q Wu, K Ren 2022 IEEE Symposium on Security and Privacy (SP), 1408-1422, 2022 | 31 | 2022 |
| False claims against model ownership resolution J Liu, R Zhang, S Szyller, K Ren, N Asokan 33rd USENIX Security Symposium (USENIX Security 24), 6885-6902, 2024 | 10 | 2024 |
| On the robustness of dataset inference S Szyller, R Zhang, J Liu, N Asokan arXiv preprint arXiv:2210.13631, 2022 | 4 | 2022 |
| Espresso: Robust Concept Filtering in Text-to-Image Models A Das, V Duddu, R Zhang, N Asokan arXiv preprint arXiv:2404.19227, 2024 | 3 | 2024 |
| Towards federated learning of deep graph neural networks Z Tian, Y Ding, R Zhang, J Liu, K Ren | 3 | 2023 |
| Attributed Graph Clustering in Collaborative Settings R Zhang, X Hou, Z Tian, Y He, E Gong, J Liu, Q Wu, K Ren IEEE Transactions on Dependable and Secure Computing, 2025 | | 2025 |
| Combining Machine Learning Defenses without Conflicts V Duddu, R Zhang, N Asokan arXiv preprint arXiv:2411.09776, 2024 | | 2024 |
| Copula-based analysis of dependent current status data with semiparametric linear transformation model H Yu, R Zhang, L Zhang Lifetime Data Analysis 30 (4), 742-775, 2024 | | 2024 |
| PrivRE: Regular Expression Matching for Encrypted Packet Inspection X Hou, J Liu, T Tu, R Zhang, K Ren 2024 IEEE 44th International Conference on Distributed Computing Systems …, 2024 | | 2024 |
