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Yuqing Zhu
Yuqing Zhu
Verified email at ucsb.edu - Homepage
Title
Cited by
Cited by
Year
Poission subsampled rényi differential privacy
Y Zhu, YX Wang
International Conference on Machine Learning, 7634-7642, 2019
1002019
Optimal accounting of differential privacy via characteristic function
Y Zhu, J Dong, YX Wang
International Conference on Artificial Intelligence and Statistics, 4782-4817, 2022
762022
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
752020
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
182020
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
132021
Improving sparse vector technique with renyi differential privacy
Y Zhu, YX Wang
Advances in Neural Information Processing Systems 33, 20249-20258, 2020
122020
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
112022
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
62023
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
32023
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
32023
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
22022
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
12024
Neural Collapse meets Differential Privacy: Curious behaviors of NoisySGD with Near-Perfect Representation Learning
C Wang, Y Zhu, WJ Su, YX Wang
12023
Making Differential Privacy Practical via Modern Privacy Accountings and Data-adaptive Analysis
Y Zhu
UC Santa Barbara, 2023
2023
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
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