| Poission subsampled rényi differential privacy Y Zhu, YX Wang International Conference on Machine Learning, 7634-7642, 2019 | 140 | 2019 |
| Optimal accounting of differential privacy via characteristic function Y Zhu, J Dong, YX Wang International Conference on Artificial Intelligence and Statistics, 4782-4817, 2022 | 112 | 2022 |
| Private-knn: Practical differential privacy for computer vision Y Zhu, X Yu, M Chandraker, YX Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 99 | 2020 |
| Voting-based approaches for differentially private federated learning Y Zhu, X Yu, YH Tsai, F Pittaluga, M Faraki, YX Wang arXiv preprint arXiv:2010.04851, 2020 | 21 | 2020 |
| Improving sparse vector technique with renyi differential privacy Y Zhu, YX Wang Advances in neural information processing systems 33, 20249-20258, 2020 | 19 | 2020 |
| Revisiting model-agnostic private learning: Faster rates and active learning C Liu, Y Zhu, K Chaudhuri, YX Wang Journal of Machine Learning Research 22 (262), 1-44, 2021 | 16 | 2021 |
| Threshold knn-shapley: A linear-time and privacy-friendly approach to data valuation JT Wang, Y Zhu, YX Wang, R Jia, P Mittal arXiv preprint arXiv:2308.15709, 2023 | 15 | 2023 |
| Adaptive private-k-selection with adaptive k and application to multi-label pate Y Zhu, YX Wang International Conference on Artificial Intelligence and Statistics, 5622-5635, 2022 | 15 | 2022 |
| Generalized ptr: User-friendly recipes for data-adaptive algorithms with differential privacy R Redberg, Y Zhu, YX Wang International Conference on Artificial Intelligence and Statistics, 3977-4005, 2023 | 9 | 2023 |
| A privacy-friendly approach to data valuation JT Wang, Y Zhu, YX Wang, R Jia, P Mittal Advances in Neural Information Processing Systems 36, 2024 | 5 | 2024 |
| Private prediction strikes back! Private kernelized nearest neighbors with individual Rényi filter Y Zhu, X Zhao, C Guo, YX Wang Uncertainty in Artificial Intelligence, 2586-2596, 2023 | 5 | 2023 |
| Neural Collapse Meets Differential Privacy: Curious Behaviors of NoisyGD with Near-perfect Representation Learning C Wang, Y Zhu, WJ Su, YX Wang arXiv preprint arXiv:2405.08920, 2024 | 3 | 2024 |
| Voting-based approach for differentially private federated learning X Yu, YH Tsai, F Pittaluga, M Faraki, M Chandraker, Y Zhu US Patent App. 17/491,663, 2022 | 3 | 2022 |
| Making Differential Privacy Practical via Modern Privacy Accountings and Data-adaptive Analysis Y Zhu UC Santa Barbara, 2023 | | 2023 |
| Mean Estimation Strikes Back! An Efficient Solution to Private Classification Y Zhu, H Zhang | | |
| Threshold KNN-Shapley: A Linear-Time and Privacy-Friendly Approach to Data Valuation (Workshop Version) JT Wang, Y Zhu, YX Wang, R Jia, P Mittal | | |
Yu-Xiang WangAssociate Professor @ UC San DiegoVerified email at ucsd.edu