Rachel Redberg

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 13

Top Topics

Privacy Preservation

Contingency Tables

Differential Privacy

Differentially Private

Top Venues

Publications

Yingyu Lin, Yian Ma, Yu-Xiang Wang, Rachel Redberg, Zhiqi Bu
Tractable MCMC for Private Learning with Pure and Gaussian Differential Privacy. ICLR (2024)
Antti Koskela, Rachel Redberg, Yu-Xiang Wang
Privacy Profiles for Private Selection. CoRR (2024)
Rachel Redberg, Antti Koskela, Yu-Xiang Wang
Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners. CoRR (2024)
Rachel Redberg, Yuqing Zhu, Yu-Xiang Wang
Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy. CoRR (2023)
Yingyu Lin, Yian Ma, Yu-Xiang Wang, Rachel Redberg
Tractable MCMC for Private Learning with Pure and Gaussian Differential Privacy. CoRR (2023)
Rachel Redberg, Yuqing Zhu, Yu-Xiang Wang
Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy. AISTATS (2023)
Rachel Redberg, Antti Koskela, Yu-Xiang Wang
Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners. NeurIPS (2023)
Fuheng Zhao, Dan Qiao, Rachel Redberg, Divyakant Agrawal, Amr El Abbadi, Yu-Xiang Wang
Differentially Private Linear Sketches: Efficient Implementations and Applications. CoRR (2022)
Fuheng Zhao, Dan Qiao, Rachel Redberg, Divyakant Agrawal, Amr El Abbadi, Yu-Xiang Wang
Differentially Private Linear Sketches: Efficient Implementations and Applications. NeurIPS (2022)
Wei Ye, Zhen Wang, Rachel Redberg, Ambuj K. Singh
Tree++: Truncated Tree Based Graph Kernels. IEEE Trans. Knowl. Data Eng. 33 (4) (2021)
Rachel Redberg, Yu-Xiang Wang
Privately Publishable Per-instance Privacy. CoRR (2021)
Rachel Redberg, Yu-Xiang Wang
Privately Publishable Per-instance Privacy. NeurIPS (2021)
Wei Ye, Zhen Wang, Rachel Redberg, Ambuj K. Singh
Tree++: Truncated Tree Based Graph Kernels. CoRR (2020)