Cover Image

Compression with Privacy-Preserving Random Access

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chandar, Venkat, Tchamkerten, Aslan, Vatedka, Shashank
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

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)

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

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

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

Necessity of Block Designs for Optimal Locally Private Distribution Estimation
by: Gentle, Abigail
Published: (2025)

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

Decentralized Privacy Preservation for Critical Connections in Graphs
by: Li, Conggai, et al.
Published: (2024)

Low-degree Security of the Planted Random Subgraph Problem
by: Bogdanov, Andrej, et al.
Published: (2024)

Heavy-Tailed Privacy: The Symmetric alpha-Stable Privacy Mechanism
by: Zawacki, Christopher C., et al.
Published: (2025)

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

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

Mean estimation in the add-remove model of differential privacy
by: Kulesza, Alex, et al.
Published: (2023)

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

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

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

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

Local Node Differential Privacy
by: Raskhodnikova, Sofya, et al.
Published: (2026)

Differential Privacy with Multiple Selections
by: Goel, Ashish, et al.
Published: (2024)

The Price of Privacy For Approximating Max-CSP
by: Dharangutte, Prathamesh, et al.
Published: (2026)

Continual Counting with Gradual Privacy Expiration
by: Andersson, Joel Daniel, et al.
Published: (2024)

Fine-Grained Privacy Guarantees for Coverage Problems
by: Dhulipala, Laxman, et al.
Published: (2024)

Triangle Counting with Local Edge Differential Privacy
by: Eden, Talya, et al.
Published: (2023)

On Computing Pairwise Statistics with Local Differential Privacy
by: Ghazi, Badih, et al.
Published: (2024)

Fully Dynamic Graph Algorithms with Edge Differential Privacy
by: Raskhodnikova, Sofya, et al.
Published: (2024)

Individualized Privacy Accounting via Subsampling with Applications in Combinatorial Optimization
by: Ghazi, Badih, et al.
Published: (2024)

Separating Oblivious and Adaptive Differential Privacy under Continual Observation
by: Bun, Mark, et al.
Published: (2026)

Cycle Counting under Local Differential Privacy for Degeneracy-bounded Graphs
by: Hillebrand, Quentin, et al.
Published: (2024)

Almost Instance-optimal Clipping for Summation Problems in the Shuffle Model of Differential Privacy
by: Dong, Wei, et al.
Published: (2024)

Counting Distinct Elements in the Turnstile Model with Differential Privacy under Continual Observation
by: Jain, Palak, et al.
Published: (2023)

Infinitely Divisible Noise for Differential Privacy: Nearly Optimal Error in the High $\varepsilon$ Regime
by: Harrison, Charlie, et al.
Published: (2025)

Privacy Filters are Captured by Residues: A Characterization of Free Natural Filters and the Cost of Adaptivity
by: Regehr, Matthew, et al.
Published: (2026)

Invertible Bloom Lookup Tables with Less Memory and Randomness
by: Fleischhacker, Nils, et al.
Published: (2023)

Cryptanalysis of the SIMON Cypher Using Neo4j
by: Cook, Jonathan, 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)

The Broader Landscape of Robustness in Algorithmic Statistics
by: Kamath, Gautam
Published: (2024)

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

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)

Differential Privacy on Trust Graphs
by: Ghazi, Badih, et al.
Published: (2024)