Yuqing Zhu

According to our database, Yuqing Zhu authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Neural Collapse meets Differential Privacy: Curious behaviors of NoisyGD with Near-Perfect Representation Learning.

Chendi Wang, Yuqing Zhu, Weijie J. Su, Yu-Xiang Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Making Differential Privacy Practical via Modern Privacy Accountings and Data-adaptive Analysis

Yuqing Zhu

PhD thesis, 2023

Threshold KNN-Shapley: A Linear-Time and Privacy-Friendly Approach to Data Valuation.

Jiachen T. Wang, Yuqing Zhu, Yu-Xiang Wang, Ruoxi Jia, Prateek Mittal

CoRR, 2023

Private Prediction Strikes Back! Private Kernelized Nearest Neighbors with Individual Rényi Filter.

Yuqing Zhu, Xuandong Zhao, Chuan Guo, Yu-Xiang Wang

Proceedings of the Uncertainty in Artificial Intelligence, 2023

A Privacy-Friendly Approach to Data Valuation.

Jiachen T. Wang, Yuqing Zhu, Yu-Xiang Wang, Ruoxi Jia, Prateek Mittal

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy.

Rachel Redberg, Yuqing Zhu, Yu-Xiang Wang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Adaptive Private-K-Selection with Adaptive K and Application to Multi-label PATE.

Yuqing Zhu, Yu-Xiang Wang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Optimal Accounting of Differential Privacy via Characteristic Function.

Yuqing Zhu, Jinshuo Dong, Yu-Xiang Wang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning.

Chong Liu, Yuqing Zhu, Kamalika Chaudhuri, Yu-Xiang Wang

J. Mach. Learn. Res., 2021

2020

Voting-based Approaches For Differentially Private Federated Learning.

Yuqing Zhu, Xiang Yu, Yi-Hsuan Tsai, Francesco Pittaluga, Masoud Faraki, Manmohan Chandraker, Yu-Xiang Wang

CoRR, 2020

Improving Sparse Vector Technique with Renyi Differential Privacy.

Yuqing Zhu, Yu-Xiang Wang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Private-kNN: Practical Differential Privacy for Computer Vision.

Yuqing Zhu, Xiang Yu, Manmohan Chandraker, Yu-Xiang Wang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Poission Subsampled Rényi Differential Privacy.

Yuqing Zhu, Yu-Xiang Wang

Proceedings of the 36th International Conference on Machine Learning, 2019