:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Taylor, Sophie, Vippathalla, Praneeth, Coon, Justin
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Cryptography and Security Information Theory
Accesso online:	https://arxiv.org/abs/2604.08630
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Adaptive Privacy of Sequential Data Releases Under Collusion
di: Taylor, Sophie, et al.
Pubblicazione: (2026)

The Asymptotic Behaviour of Information Leakage Metrics
di: Taylor, Sophie, et al.
Pubblicazione: (2024)

On the Entropy of a Random Geometric Graph
di: Vippathalla, Praneeth Kumar, et al.
Pubblicazione: (2026)

Graph Compression with Side Information at the Decoder
di: Vippathalla, Praneeth Kumar, et al.
Pubblicazione: (2023)

Rate-Distortion-Perception Function of Bernoulli Vector Sources
di: Vippathalla, Praneeth Kumar, et al.
Pubblicazione: (2025)

Mean Estimation with User-Level Privacy for Spatio-Temporal IoT Datasets
di: Rameshwar, V. Arvind, et al.
Pubblicazione: (2024)

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

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

Information Density Bounds for Privacy
di: Saeidian, Sara, et al.
Pubblicazione: (2024)

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

Approximation of Pufferfish Privacy for Gaussian Priors
di: Ding, Ni
Pubblicazione: (2024)

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

Privacy Mechanism Design based on Empirical Distributions
di: Grosse, Leonhard, et al.
Pubblicazione: (2025)

Generalized Rainbow Differential Privacy
di: Gu, Yuzhou, et al.
Pubblicazione: (2023)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Breaking the Communication-Privacy-Accuracy Tradeoff with $f$-Differential Privacy
di: Jin, Richeng, et al.
Pubblicazione: (2023)

Rao Differential Privacy
di: Soto, Carlos
Pubblicazione: (2025)

Privacy for Fairness: Information Obfuscation for Fair Representation Learning with Local Differential Privacy
di: Xie, Songjie, et al.
Pubblicazione: (2024)

Quantum-safe Encryption: A New Method to Reduce Complexity and/or Improve Security Level
di: Khandani, Amir K.
Pubblicazione: (2024)

Inference Privacy: Properties and Mechanisms
di: Tian, Fengwei, et al.
Pubblicazione: (2024)

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

When Does Quantum Differential Privacy Compose?
di: Alabi, Daniel, et al.
Pubblicazione: (2026)

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

An Efficient Difference-of-Convex Solver for Privacy Funnel
di: Huang, Teng-Hui, et al.
Pubblicazione: (2024)

Concentrated Differential Privacy for Bandits
di: Azize, Achraf, et al.
Pubblicazione: (2023)

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

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