Yuqing Zhu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Differential Privacy

Top Venues

J. Mach. Learn. Res.

Publications

Chendi Wang, Yuqing Zhu, Weijie J. Su, Yu-Xiang Wang
Neural Collapse Meets Differential Privacy: Curious Behaviors of NoisyGD with Near-perfect Representation Learning. CoRR (2024)
Rachel Redberg, Yuqing Zhu, Yu-Xiang Wang
Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy. CoRR (2023)
Jiachen T. Wang, Yuqing Zhu, Yu-Xiang Wang, Ruoxi Jia, Prateek Mittal
Threshold KNN-Shapley: A Linear-Time and Privacy-Friendly Approach to Data Valuation. CoRR (2023)
Yuqing Zhu, Xuandong Zhao, Chuan Guo, Yu-Xiang Wang
Private Prediction Strikes Back! Private Kernelized Nearest Neighbors with Individual Rényi Filter. UAI (2023)
Jiachen T. Wang, Yuqing Zhu, Yu-Xiang Wang, Ruoxi Jia, Prateek Mittal
A Privacy-Friendly Approach to Data Valuation. NeurIPS (2023)
Rachel Redberg, Yuqing Zhu, Yu-Xiang Wang
Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy. AISTATS (2023)
Yuqing Zhu, Xuandong Zhao, Chuan Guo, Yu-Xiang Wang
"Private Prediction Strikes Back!" Private Kernelized Nearest Neighbors with Individual Renyi Filter. CoRR (2023)
Yuqing Zhu, Yu-Xiang Wang
Adaptive Private-K-Selection with Adaptive K and Application to Multi-label PATE. AISTATS (2022)
Yuqing Zhu, Jinshuo Dong, Yu-Xiang Wang
Optimal Accounting of Differential Privacy via Characteristic Function. AISTATS (2022)
Yuqing Zhu, Yu-Xiang Wang
Adaptive Private-K-Selection with Adaptive K and Application to Multi-label PATE. CoRR (2022)
Yuqing Zhu, Jinshuo Dong, Yu-Xiang Wang
Optimal Accounting of Differential Privacy via Characteristic Function. CoRR (2021)
Chong Liu, Yuqing Zhu, Kamalika Chaudhuri, Yu-Xiang Wang
Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning. J. Mach. Learn. Res. 22 (2021)
Chong Liu, Yuqing Zhu, Kamalika Chaudhuri, Yu-Xiang Wang
Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning. AISTATS (2021)
Chong Liu, Yuqing Zhu, Kamalika Chaudhuri, Yu-Xiang Wang
Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning. CoRR (2020)
Yuqing Zhu, Xiang Yu, Manmohan Chandraker, Yu-Xiang Wang
Private-kNN: Practical Differential Privacy for Computer Vision. CVPR (2020)
Yuqing Zhu, Yu-Xiang Wang
Improving Sparse Vector Technique with Renyi Differential Privacy. NeurIPS (2020)
Yuqing Zhu, Xiang Yu, Yi-Hsuan Tsai, Francesco Pittaluga, Masoud Faraki, Manmohan Chandraker, Yu-Xiang Wang
Voting-based Approaches For Differentially Private Federated Learning. CoRR (2020)
Yuqing Zhu, Yu-Xiang Wang
Poission Subsampled Rényi Differential Privacy. ICML (2019)