Differentially Private Synthetic Data with Private Density Estimation
Fuente:
arXiv
Saved in:
| Main Authors: | Bojkovic, Nikolija, Loh, Po-Ling |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
On Differentially Private U Statistics
by: Chaudhuri, Kamalika, et al.
Published: (2024)
by: Chaudhuri, Kamalika, et al.
Published: (2024)
Differentially Private Joint Independence Test
by: Liu, Xingwei, et al.
Published: (2025)
by: Liu, Xingwei, et al.
Published: (2025)
Differentially Private Synthetic High-dimensional Tabular Stream
by: Kumar, Girish, et al.
Published: (2024)
by: Kumar, Girish, et al.
Published: (2024)
On the Benefits of Accelerated Optimization in Robust and Private Estimation
by: Marchis, Laurentiu Andrei, et al.
Published: (2025)
by: Marchis, Laurentiu Andrei, et al.
Published: (2025)
Contraction of Locally Differentially Private Mechanisms
by: Asoodeh, Shahab, et al.
Published: (2022)
by: Asoodeh, Shahab, et al.
Published: (2022)
An Iterative Algorithm for Differentially Private $k$-PCA with Adaptive Noise
by: Düngler, Johanna, et al.
Published: (2025)
by: Düngler, Johanna, et al.
Published: (2025)
Differentially private projection-depth-based medians
by: Ramsay, Kelly, et al.
Published: (2023)
by: Ramsay, Kelly, et al.
Published: (2023)
Differentially private multivariate medians
by: Ramsay, Kelly, et al.
Published: (2022)
by: Ramsay, Kelly, et al.
Published: (2022)
Better and Simpler Lower Bounds for Differentially Private Statistical Estimation
by: Narayanan, Shyam
Published: (2023)
by: Narayanan, Shyam
Published: (2023)
Differentially Private Manifold Denoising
by: Wu, Jiaqi, et al.
Published: (2026)
by: Wu, Jiaqi, et al.
Published: (2026)
Differentially Private Best-Arm Identification
by: Azize, Achraf, et al.
Published: (2024)
by: Azize, Achraf, et al.
Published: (2024)
Optimal Rates for Differentially Private Hypothesis Testing with E-values
by: Jacobsen, Ben, et al.
Published: (2026)
by: Jacobsen, Ben, et al.
Published: (2026)
CoinPress: Practical Private Mean and Covariance Estimation
by: Biswas, Sourav, et al.
Published: (2020)
by: Biswas, Sourav, et al.
Published: (2020)
On Privately Estimating a Single Parameter
by: Asi, Hilal, et al.
Published: (2025)
by: Asi, Hilal, et al.
Published: (2025)
Optimal Survey Design for Private Mean Estimation
by: Chen, Yu-Wei, et al.
Published: (2025)
by: Chen, Yu-Wei, et al.
Published: (2025)
Differentially Private Federated Learning: Servers Trustworthiness, Estimation, and Statistical Inference
by: Zhang, Zhe, et al.
Published: (2024)
by: Zhang, Zhe, et al.
Published: (2024)
Correlated Privacy Mechanisms for Differentially Private Distributed Mean Estimation
by: Vithana, Sajani, et al.
Published: (2024)
by: Vithana, Sajani, et al.
Published: (2024)
Differentially Private Sliced Inverse Regression: Minimax Optimality and Algorithm
by: Xia, Xintao, et al.
Published: (2024)
by: Xia, Xintao, et al.
Published: (2024)
DP-SPRT: Differentially Private Sequential Probability Ratio Tests
by: Michel, Thomas, et al.
Published: (2025)
by: Michel, Thomas, et al.
Published: (2025)
Poisson-Process Topic Model for Integrating Knowledge from Pre-trained Language Models
by: Austern, Morgane, et al.
Published: (2025)
by: Austern, Morgane, et al.
Published: (2025)
Differentially Private Inference for Longitudinal Linear Regression
by: Sopa, Getoar, et al.
Published: (2026)
by: Sopa, Getoar, et al.
Published: (2026)
Differentially Private Fair Binary Classifications
by: Ghoukasian, Hrad, et al.
Published: (2024)
by: Ghoukasian, Hrad, et al.
Published: (2024)
Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise
by: Li, Keyi, et al.
Published: (2025)
by: Li, Keyi, et al.
Published: (2025)
Differentially Private Permutation Tests: Applications to Kernel Methods
by: Kim, Ilmun, et al.
Published: (2023)
by: Kim, Ilmun, et al.
Published: (2023)
Universal Exact Compression of Differentially Private Mechanisms
by: Liu, Yanxiao, et al.
Published: (2024)
by: Liu, Yanxiao, et al.
Published: (2024)
Straggler-Resilient Differentially-Private Decentralized Learning
by: Yakimenka, Yauhen, et al.
Published: (2022)
by: Yakimenka, Yauhen, et al.
Published: (2022)
Instance-Optimal Private Density Estimation in the Wasserstein Distance
by: Feldman, Vitaly, et al.
Published: (2024)
by: Feldman, Vitaly, et al.
Published: (2024)
Adaptive Density Estimation Using Projection Kernels and Penalized Comparison to Overfitting
by: Hoang, Van Ha, et al.
Published: (2025)
by: Hoang, Van Ha, et al.
Published: (2025)
Safeguarding Data in Multimodal AI: A Differentially Private Approach to CLIP Training
by: Huang, Alyssa, et al.
Published: (2023)
by: Huang, Alyssa, et al.
Published: (2023)
Differentially Private Low-dimensional Synthetic Data from High-dimensional Datasets
by: He, Yiyun, et al.
Published: (2023)
by: He, Yiyun, et al.
Published: (2023)
Density estimation using the perceptron
by: Gerber, Patrik Róbert, et al.
Published: (2023)
by: Gerber, Patrik Róbert, et al.
Published: (2023)
Concentrated Differential Privacy for Bandits
by: Azize, Achraf, et al.
Published: (2023)
by: Azize, Achraf, et al.
Published: (2023)
Subset-Based Instance Optimality in Private Estimation
by: Dick, Travis, et al.
Published: (2023)
by: Dick, Travis, et al.
Published: (2023)
On the minimax optimality of Flow Matching through the connection to kernel density estimation
by: Kunkel, Lea, et al.
Published: (2025)
by: Kunkel, Lea, et al.
Published: (2025)
Distribution estimation via Flow Matching with Lipschitz guarantees
by: Kunkel, Lea
Published: (2025)
by: Kunkel, Lea
Published: (2025)
Private Minimum Hellinger Distance Estimation via Hellinger Distance Differential Privacy
by: Deng, Fengnan, et al.
Published: (2025)
by: Deng, Fengnan, et al.
Published: (2025)
Kernel Density Estimation and Convolution Revisited
by: Tenkorang, Nicholas, et al.
Published: (2025)
by: Tenkorang, Nicholas, et al.
Published: (2025)
Optimal Guarantees for Auditing Rényi Differentially Private Machine Learning
by: Kim, Benjamin D., et al.
Published: (2026)
by: Kim, Benjamin D., et al.
Published: (2026)
GeoClip: Geometry-Aware Clipping for Differentially Private SGD
by: Gilani, Atefeh, et al.
Published: (2025)
by: Gilani, Atefeh, et al.
Published: (2025)
Optimal Regret of Bernoulli Bandits under Global Differential Privacy
by: Azize, Achraf, et al.
Published: (2025)
by: Azize, Achraf, et al.
Published: (2025)
Similar Items
-
On Differentially Private U Statistics
by: Chaudhuri, Kamalika, et al.
Published: (2024) -
Differentially Private Joint Independence Test
by: Liu, Xingwei, et al.
Published: (2025) -
Differentially Private Synthetic High-dimensional Tabular Stream
by: Kumar, Girish, et al.
Published: (2024) -
On the Benefits of Accelerated Optimization in Robust and Private Estimation
by: Marchis, Laurentiu Andrei, et al.
Published: (2025) -
Contraction of Locally Differentially Private Mechanisms
by: Asoodeh, Shahab, et al.
Published: (2022)