Cover Image

Privacy Mechanism Design based on Empirical Distributions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Grosse, Leonhard, Saeidian, Sara, Skoglund, Mikael, Oechtering, Tobias J.
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Information Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Dobrushin Coefficients of Private Mechanisms Beyond Local Differential Privacy
by: Grosse, Leonhard, et al.
Published: (2026)

Information Density Bounds for Privacy
by: Saeidian, Sara, et al.
Published: (2024)

Evaluating Differential Privacy on Correlated Datasets Using Pointwise Maximal Leakage
by: Saeidian, Sara, et al.
Published: (2025)

Quantifying Privacy via Information Density
by: Grosse, Leonhard, et al.
Published: (2024)

A Tight Context-aware Privacy Bound for Histogram Publication
by: Saeidian, Sara, et al.
Published: (2025)

Rethinking Disclosure Prevention with Pointwise Maximal Leakage
by: Saeidian, Sara, et al.
Published: (2023)

Bounds on the privacy amplification of arbitrary channels via the contraction of $f_α$-divergence
by: Grosse, Leonhard, et al.
Published: (2025)

Context-aware Privacy Bounds for Linear Queries
by: Zhao, Heng, et al.
Published: (2026)

Extremal Mechanisms for Pointwise Maximal Leakage
by: Grosse, Leonhard, et al.
Published: (2023)

Information Leakage Envelopes
by: Saeidian, Sara, et al.
Published: (2026)

Correlated Privacy Mechanisms for Differentially Private Distributed Mean Estimation
by: Vithana, Sajani, et al.
Published: (2024)

Strict Optimality of Frequency and Distribution Estimation Under Local Differential Privacy
by: Pan, Mingen
Published: (2026)

Distributed Batch Matrix Multiplication: Trade-Offs in Download Rate, Randomness, and Privacy
by: Morteza, Amirhosein, et al.
Published: (2025)

Fundamental Limit of Discrete Distribution Estimation under Utility-Optimized Local Differential Privacy
by: Yoon, Sun-Moon, et al.
Published: (2025)

Secure Distributed Storage: Optimal Trade-Off Between Storage Rate and Privacy Leakage
by: Chou, Remi A., et al.
Published: (2024)

Inference Privacy: Properties and Mechanisms
by: Tian, Fengwei, et al.
Published: (2024)

The Hidden Cost of Correlation: Rethinking Privacy Leakage in Local Differential Privacy
by: Jayawardana, Sandaru, et al.
Published: (2025)

On Improving the Composition Privacy Loss in Differential Privacy for Fixed Estimation Error
by: Rameshwar, V. Arvind, et al.
Published: (2024)

On Spatial-Provenance Recovery in Wireless Networks with Relaxed-Privacy Constraints
by: Bansal, Manish, et al.
Published: (2025)

Maximal $α$-Leakage for Quantum Privacy Mechanisms
by: Yang, Bo-Yu, et al.
Published: (2024)

Realisation-Level Privacy Filtering
by: Taylor, Sophie, et al.
Published: (2026)

Composition Theorems for f-Differential Privacy
by: Fernandes, Natasha, et al.
Published: (2025)

Approximation of Pufferfish Privacy for Gaussian Priors
by: Ding, Ni
Published: (2024)

STAMP: Selective Task-Aware Mechanism for Text Privacy
by: Tian, Fengwei, et al.
Published: (2026)

Outer Bounds on the CEO Problem with Privacy Constraints
by: Yachongka, Vamoua, et al.
Published: (2023)

Privacy Guarantee for Nash Equilibrium Computation of Aggregative Games Based on Pointwise Maximal Leakage
by: Cheng, Zhaoyang, et al.
Published: (2025)

Achieving Dalenius' Goal of Data Privacy with Practical Assumptions
by: Wu, Genqiang, et al.
Published: (2017)

Over-the-Air Collaborative Inference with Feature Differential Privacy
by: Seif, Mohamed, et al.
Published: (2024)

Integrated Sensing and Communication with Distributed Rate-Limited Helpers
by: Chen, Yiqi, et al.
Published: (2025)

Generalized Rainbow Differential Privacy
by: Gu, Yuzhou, et al.
Published: (2023)

Multi-terminal Strong Coordination over Noisy Channels with Encoder Co-operation
by: Ramachandran, Viswanathan, et al.
Published: (2025)

Generalizing the Fano inequality further
by: Bongole, Raghav, et al.
Published: (2026)

Multi-terminal Strong Coordination subject to Secrecy Constraints
by: Ramachandran, Viswanathan, et al.
Published: (2024)

Optimal Privacy-Utility Trade-Offs in LDP: Functional and Geometric Perspectives
by: Nam, Seung-Hyun, et al.
Published: (2026)

Private Sum Computation: Trade-Offs between Communication, Randomness, and Privacy
by: Chou, Remi A., et al.
Published: (2026)

How Breakable Is Privacy: Probing and Resisting Model Inversion Attacks in Collaborative Inference
by: Liu, Rongke, et al.
Published: (2025)

Precision and Privacy in Distributed Quantum Sensing: A Quantum Fisher Information Duality
by: Farokhi, Farhad
Published: (2026)

Cellular Automata as Generators of Interleaving Sequences
by: Cardell, Sara D.
Published: (2025)

Computing Low-Entropy Couplings for Large-Support Distributions
by: Sokota, Samuel, et al.
Published: (2024)

Building a Privacy Web with SPIDEr -- Secure Pipeline for Information De-Identification with End-to-End Encryption
by: Chakraborty, Novoneel, et al.
Published: (2024)