Saved in:
| Main Authors: | Zamanlooy, Behnoosh, Diaz, Mario, Asoodeh, Shahab |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.08791 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Contraction of Locally Differentially Private Mechanisms
by: Asoodeh, Shahab, et al.
Published: (2022)
by: Asoodeh, Shahab, et al.
Published: (2022)
Exactly Minimax-Optimal Locally Differentially Private Sampling
by: Park, Hyun-Young, et al.
Published: (2024)
by: Park, Hyun-Young, et al.
Published: (2024)
Sample-Optimal Locally Private Hypothesis Selection and the Provable Benefits of Interactivity
by: Pour, Alireza F., et al.
Published: (2023)
by: Pour, Alireza F., et al.
Published: (2023)
Locally Optimal Private Sampling: Beyond the Global Minimax
by: Ghoukasian, Hrad, et al.
Published: (2025)
by: Ghoukasian, Hrad, et al.
Published: (2025)
Differentially Private Fair Binary Classifications
by: Ghoukasian, Hrad, et al.
Published: (2024)
by: Ghoukasian, Hrad, et al.
Published: (2024)
Optimal Fairness under Local Differential Privacy
by: Ghoukasian, Hrad, et al.
Published: (2025)
by: Ghoukasian, Hrad, et al.
Published: (2025)
Machine Learning-Powered Course Allocation
by: Soumalias, Ermis, et al.
Published: (2022)
by: Soumalias, Ermis, et al.
Published: (2022)
Breaking the Finite-Sample Barrier in Entropy Coupling
by: Asoodeh, Shahab, et al.
Published: (2026)
by: Asoodeh, Shahab, et al.
Published: (2026)
Optimality of Staircase Mechanisms for Vector Queries under Differential Privacy
by: Melbourne, James, et al.
Published: (2026)
by: Melbourne, James, et al.
Published: (2026)
On Privacy Leakage in Tabular Diffusion Models: Influential Factors, Attacker Knowledge, and Metrics
by: Shafieinejad, Masoumeh, et al.
Published: (2026)
by: Shafieinejad, Masoumeh, et al.
Published: (2026)
Optimal Locally Private Nonparametric Classification with Public Data
by: Ma, Yuheng, et al.
Published: (2023)
by: Ma, Yuheng, et al.
Published: (2023)
Locally Private Estimation with Public Features
by: Ma, Yuheng, et al.
Published: (2024)
by: Ma, Yuheng, et al.
Published: (2024)
Private Zeroth-Order Optimization with Public Data
by: Gong, Xuchen, et al.
Published: (2025)
by: Gong, Xuchen, et al.
Published: (2025)
Improving the Convergence of Private Shuffled Gradient Methods with Public Data
by: Jiang, Shuli, et al.
Published: (2025)
by: Jiang, Shuli, et al.
Published: (2025)
Oracle-Efficient Differentially Private Learning with Public Data
by: Block, Adam, et al.
Published: (2024)
by: Block, Adam, et al.
Published: (2024)
Better Locally Private Sparse Estimation Given Multiple Samples Per User
by: Ma, Yuheng, et al.
Published: (2024)
by: Ma, Yuheng, et al.
Published: (2024)
Pre-training Differentially Private Models with Limited Public Data
by: Bu, Zhiqi, et al.
Published: (2024)
by: Bu, Zhiqi, et al.
Published: (2024)
Optimal Differentially Private Model Training with Public Data
by: Lowy, Andrew, et al.
Published: (2023)
by: Lowy, Andrew, et al.
Published: (2023)
Joint Selection: Adaptively Incorporating Public Information for Private Synthetic Data
by: Fuentes, Miguel, et al.
Published: (2024)
by: Fuentes, Miguel, et al.
Published: (2024)
Leveraging Vertical Public-Private Split for Improved Synthetic Data Generation
by: Maddock, Samuel, et al.
Published: (2025)
by: Maddock, Samuel, et al.
Published: (2025)
Locally Differentially Private Thresholding Bandits
by: Barbara, Annalisa, et al.
Published: (2025)
by: Barbara, Annalisa, et al.
Published: (2025)
Data Poisoning Attacks to Locally Differentially Private Range Query Protocols
by: Liao, Ting-Wei, et al.
Published: (2025)
by: Liao, Ting-Wei, et al.
Published: (2025)
Differentially Private Publication of Electricity Time Series Data in Smart Grids
by: Shaham, Sina, et al.
Published: (2024)
by: Shaham, Sina, et al.
Published: (2024)
From Private to Public: Benchmarking GANs in the Context of Private Time Series Classification
by: Mercier, Dominique, et al.
Published: (2023)
by: Mercier, Dominique, et al.
Published: (2023)
Towards Biologically Plausible and Private Gene Expression Data Generation
by: Chen, Dingfan, et al.
Published: (2024)
by: Chen, Dingfan, et al.
Published: (2024)
Devil's Hand: Data Poisoning Attacks to Locally Private Graph Learning Protocols
by: He, Longzhu, et al.
Published: (2025)
by: He, Longzhu, et al.
Published: (2025)
Thompson Sampling Itself is Differentially Private
by: Ou, Tingting, et al.
Published: (2024)
by: Ou, Tingting, et al.
Published: (2024)
Prompt Public Large Language Models to Synthesize Data for Private On-device Applications
by: Wu, Shanshan, et al.
Published: (2024)
by: Wu, Shanshan, et al.
Published: (2024)
Learning with Locally Private Examples by Inverse Weierstrass Private Stochastic Gradient Descent
by: Dufraiche, Jean, et al.
Published: (2026)
by: Dufraiche, Jean, et al.
Published: (2026)
On the Sample Complexity of Differentially Private Policy Optimization
by: He, Yi, et al.
Published: (2025)
by: He, Yi, et al.
Published: (2025)
Private Realizable-to-Agnostic Transformation with Near-Optimal Sample Complexity
by: Li, Bo, et al.
Published: (2025)
by: Li, Bo, et al.
Published: (2025)
Adaptive Sampling and Clipping for Private Worst-Case Group Optimization
by: Cairney-Leeming, Max, et al.
Published: (2026)
by: Cairney-Leeming, Max, et al.
Published: (2026)
Aggregating Data for Optimal and Private Learning
by: Agarwal, Sushant, et al.
Published: (2024)
by: Agarwal, Sushant, et al.
Published: (2024)
Efficient Public Verification of Private ML via Regularization
by: Bell, Zoë Ruha, et al.
Published: (2025)
by: Bell, Zoë Ruha, et al.
Published: (2025)
Privacy-Preserving Data Linkage Across Private and Public Datasets for Collaborative Agriculture Research
by: Zafar, Osama, et al.
Published: (2024)
by: Zafar, Osama, et al.
Published: (2024)
LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability
by: Alikhani, Sadjad, et al.
Published: (2026)
by: Alikhani, Sadjad, et al.
Published: (2026)
Differentially Private Hyperparameter Tuning using Local Bayesian Optimization
by: Sopa, Getoar, et al.
Published: (2025)
by: Sopa, Getoar, et al.
Published: (2025)
Locally Private Nonparametric Contextual Multi-armed Bandits
by: Ma, Yuheng, et al.
Published: (2025)
by: Ma, Yuheng, et al.
Published: (2025)
Lower Bounds for Public-Private Learning under Distribution Shift
by: Setlur, Amrith, et al.
Published: (2025)
by: Setlur, Amrith, et al.
Published: (2025)
Enhancing Differentially Private Linear Regression via Public Second-Moment
by: Cao, Zilong, et al.
Published: (2025)
by: Cao, Zilong, et al.
Published: (2025)
Similar Items
-
Contraction of Locally Differentially Private Mechanisms
by: Asoodeh, Shahab, et al.
Published: (2022) -
Exactly Minimax-Optimal Locally Differentially Private Sampling
by: Park, Hyun-Young, et al.
Published: (2024) -
Sample-Optimal Locally Private Hypothesis Selection and the Provable Benefits of Interactivity
by: Pour, Alireza F., et al.
Published: (2023) -
Locally Optimal Private Sampling: Beyond the Global Minimax
by: Ghoukasian, Hrad, et al.
Published: (2025) -
Differentially Private Fair Binary Classifications
by: Ghoukasian, Hrad, et al.
Published: (2024)