Imagen de Portada

Composition in Differential Privacy for General Granularity Notions (Long Version)

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Guerra-Balboa, Patricia, Miranda-Pascual, Àlex, Parra-Arnau, Javier, Strufe, Thorsten
Formato:	Preprint
Publicado:	2023
Materias:	Cryptography and Security Data Structures and Algorithms 68P27 (Primary)
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

The Adverse Effects of Omitting Records in Differential Privacy: How Sampling and Suppression Degrade the Privacy--Utility Tradeoff (Long Version)
por: Miranda-Pascual, Àlex, et al.
Publicado: (2026)

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy
por: Lange, Martin, et al.
Publicado: (2025)

Understanding Disclosure Risk in Differential Privacy with Applications to Noise Calibration and Auditing (Extended Version)
por: Guerra-Balboa, Patricia, et al.
Publicado: (2026)

Local Differential Privacy-Preserving Spectral Clustering for General Graphs
por: Mukherjee, Sayan, et al.
Publicado: (2023)

Why Does Differential Privacy with Large Epsilon Defend Against Practical Membership Inference Attacks?
por: Lowy, Andrew, et al.
Publicado: (2024)

Statistical Privacy
por: Breutigam, Dennis, et al.
Publicado: (2025)

Local Node Differential Privacy
por: Raskhodnikova, Sofya, et al.
Publicado: (2026)

Differential Privacy with Multiple Selections
por: Goel, Ashish, et al.
Publicado: (2024)

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

Private Evolution Converges
por: González, Tomás, et al.
Publicado: (2025)

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

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

Edgeworth Accountant: An Analytical Approach to Differential Privacy Composition
por: Wang, Hua, et al.
Publicado: (2022)

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

Optimizing Noise for $f$-Differential Privacy via Anti-Concentration and Stochastic Dominance
por: Awan, Jordan, et al.
Publicado: (2023)

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

A Comprehensive Guide to Differential Privacy: From Theory to User Expectations
por: Karmitsa, Napsu, et al.
Publicado: (2025)

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

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

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

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

Privacy of the last iterate in cyclically-sampled DP-SGD on nonconvex composite losses
por: Kong, Weiwei, et al.
Publicado: (2024)

Anonymization-Enhanced Privacy Protection for Mobile GUI Agents: Available but Invisible
por: Zhao, Lepeng, et al.
Publicado: (2026)

The Discrete Gaussian for Differential Privacy
por: Canonne, Clément L., et al.
Publicado: (2020)

Budget Recycling Differential Privacy
por: Jiang, Bo, et al.
Publicado: (2024)

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

On the Price of Differential Privacy for Hierarchical Clustering
por: Deng, Chengyuan, et al.
Publicado: (2025)

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

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

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

Fast John Ellipsoid Computation with Differential Privacy Optimization
por: Li, Xiaoyu, et al.
Publicado: (2024)

Prediction with Expert Advice under Local Differential Privacy
por: Jacobsen, Ben, et al.
Publicado: (2025)

High-Probability Bounds For Heterogeneous Local Differential Privacy
por: Aliakbarpour, Maryam, et al.
Publicado: (2025)

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

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

Differentially Private Matchings
por: Dinitz, Michael, et al.
Publicado: (2025)

Individual Privacy Accounting for Differentially Private Stochastic Gradient Descent
por: Yu, Da, et al.
Publicado: (2022)

Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies
por: Wang, Zhanyu, et al.
Publicado: (2022)

Differentially Private Set Representations
por: Patel, Sarvar, et al.
Publicado: (2025)

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