Cover Image

Necessity of Block Designs for Optimal Locally Private Distribution Estimation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Gentle, Abigail
Format:	Preprint
Published:	2025
Subjects:	Information Theory Cryptography and Security Data Structures and Algorithms
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Locally Private Histograms in All Privacy Regimes
by: Canonne, Clément L., et al.
Published: (2024)

Online Distribution Learning with Local Private Constraints
by: Sima, Jin, et al.
Published: (2024)

Private Vector Mean Estimation in the Shuffle Model: Optimal Rates Require Many Messages
by: Asi, Hilal, et al.
Published: (2024)

Uniformity Testing under User-Level Local Privacy
by: Canonne, Clément L., et al.
Published: (2025)

Optimal Differentially Private Sampling of Unbounded Gaussians
by: Iverson, Valentio, et al.
Published: (2025)

Private Mean Estimation with Person-Level Differential Privacy
by: Agarwal, Sushant, et al.
Published: (2024)

Agnostic Private Density Estimation for GMMs via List Global Stability
by: Afzali, Mohammad, et al.
Published: (2024)

Reveal-or-Obscure: A Differentially Private Sampling Algorithm for Discrete Distributions
by: Tasnim, Naima, et al.
Published: (2025)

Optimal Rates for Differentially Private Hypothesis Testing with E-values
by: Jacobsen, Ben, et al.
Published: (2026)

CoinPress: Practical Private Mean and Covariance Estimation
by: Biswas, Sourav, et al.
Published: (2020)

Better and Simpler Lower Bounds for Differentially Private Statistical Estimation
by: Narayanan, Shyam
Published: (2023)

Mixtures of Gaussians are Privately Learnable with a Polynomial Number of Samples
by: Afzali, Mohammad, et al.
Published: (2023)

Near-Optimal Differentially Private k-Core Decomposition
by: Dhulipala, Laxman, et al.
Published: (2023)

Instance-Optimal Private Density Estimation in the Wasserstein Distance
by: Feldman, Vitaly, et al.
Published: (2024)

Compression with Privacy-Preserving Random Access
by: Chandar, Venkat, et al.
Published: (2025)

Shuffling Cards When You Are of Very Little Brain: Low Memory Generation of Permutations
by: Menuhin, Boaz, et al.
Published: (2025)

Meeting Utility Constraints in Differential Privacy: A Privacy-Boosting Approach
by: Jiang, Bo, et al.
Published: (2024)

Concurrent Composition for Interactive Differential Privacy with Adaptive Privacy-Loss Parameters
by: Haney, Samuel, et al.
Published: (2023)

Near-Optimal Generalized Private Testing
by: Chaturvedi, Anamay, et al.
Published: (2026)

Space-Efficient Private Estimation of Quantiles
by: Cafaro, Massimo, et al.
Published: (2025)

Robustness Implies Privacy in Statistical Estimation
by: Hopkins, Samuel B., et al.
Published: (2022)

Nearly-Optimal Private Selection via Gaussian Mechanism
by: Leeman, Ethan, et al.
Published: (2025)

Fast and Optimal Differentially Private Frequent-Substring Mining
by: Guo, Peaker, et al.
Published: (2026)

Analysis of Shuffling Beyond Pure Local Differential Privacy
by: Takagi, Shun, et al.
Published: (2026)

Differentially Private Substring and Document Counting with Near-Optimal Error
by: Bernardini, Giulia, et al.
Published: (2024)

Near-Universally-Optimal Differentially Private Minimum Spanning Trees
by: Hladík, Richard, et al.
Published: (2024)

Better Differentially Private Approximate Histograms and Heavy Hitters using the Misra-Gries Sketch
by: Lebeda, Christian Janos, et al.
Published: (2023)

Optimal Pure Differentially Private Sparse Histograms in Deterministic Linear Time
by: Kerschbaum, Florian, et al.
Published: (2025)

Tighter Bounds for Local Differentially Private Core Decomposition and Densest Subgraph
by: Henzinger, Monika, et al.
Published: (2024)

Near-Optimal Differentially Private Graph Algorithms via the Multidimensional AboveThreshold Mechanism
by: Dhulipala, Laxman, et al.
Published: (2025)

On Differentially Private Subspace Estimation in a Distribution-Free Setting
by: Tsfadia, Eliad
Published: (2024)

Differentially Private Matchings
by: Dinitz, Michael, et al.
Published: (2025)

Private Lossless Multiple Release
by: Andersson, Joel Daniel, et al.
Published: (2025)

Differentially Private Set Representations
by: Patel, Sarvar, et al.
Published: (2025)

Practical and Accurate Local Edge Differentially Private Graph Algorithms
by: Mundra, Pranay, et al.
Published: (2025)

A Polynomial Time, Pure Differentially Private Estimator for Binary Product Distributions
by: Singhal, Vikrant
Published: (2023)

PREAMBLE: Private and Efficient Aggregation via Block Sparse Vectors
by: Asi, Hilal, et al.
Published: (2025)

Profile Reconstruction from Private Sketches
by: Wu, Hao, et al.
Published: (2024)

Differentially Private Ad Conversion Measurement
by: Delaney, John, et al.
Published: (2024)

Differentially Private Gomory-Hu Trees
by: Aamand, Anders, et al.
Published: (2024)