Cover Image

Enhanced Privacy Bound for Shuffle Model with Personalized Privacy

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Yixuan, Liu, Yuhan, Xiong, Li, Gu, Yujie, Chen, Hong
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security Databases
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Privacy and Accuracy-Aware AI/ML Model Deduplication
by: Guan, Hong, et al.
Published: (2025)

Personalized w-Event Privacy for Infinite Stream Estimation
by: Du, Leilei, et al.
Published: (2026)

A Review of Privacy Metrics for Privacy-Preserving Synthetic Data Generation
by: Trudslev, Frederik Marinus, et al.
Published: (2025)

Privacy-Enhanced Database Synthesis for Benchmark Publishing (Technical Report)
by: Ge, Yunqing, et al.
Published: (2024)

A General Framework for Per-record Differential Privacy
by: Chen, Xinghe, et al.
Published: (2025)

Approximate DBSCAN under Differential Privacy
by: Qiu, Yuan, et al.
Published: (2025)

Real-Time Trajectory Synthesis with Local Differential Privacy
by: Hu, Yujia, et al.
Published: (2024)

Privacy-Preserving Data Management using Blockchains
by: Kwakye, Michael Mireku
Published: (2024)

Protecting Data Buyer Privacy in Data Markets
by: Zhang, Minxing, et al.
Published: (2024)

Within-Dataset Disclosure Risk for Differential Privacy
by: Zhu, Zhiru, et al.
Published: (2023)

From Randomized Response to Randomized Index: Answering Subset Counting Queries with Local Differential Privacy
by: Ye, Qingqing, et al.
Published: (2025)

Federated Heavy Hitter Analytics with Local Differential Privacy
by: Zhang, Yuemin, et al.
Published: (2024)

Defense against Poisoning Attacks under Shuffle-DP
by: Wang, Siyi, et al.
Published: (2026)

Crypto-Assisted Graph Degree Sequence Release under Local Differential Privacy
by: Zhang, Xiaojian, et al.
Published: (2025)

Releasing Large-Scale Human Mobility Histograms with Differential Privacy
by: Bian, Christopher, et al.
Published: (2024)

Data Poisoning Attacks to Local Differential Privacy Protocols for Graphs
by: He, Xi, et al.
Published: (2024)

Acyclic Graph Pattern Counting under Local Differential Privacy
by: Hu, Yihua, et al.
Published: (2026)

Communication-Efficient Triangle Counting under Local Differential Privacy
by: Imola, Jacob, et al.
Published: (2021)

GPM: The Gaussian Pancake Mechanism for Planting Undetectable Backdoors in Differential Privacy
by: Sun, Haochen, et al.
Published: (2025)

Towards Privacy-Preserving Range Queries with Secure Learned Spatial Index over Encrypted Data
by: Wang, Zuan, et al.
Published: (2025)

User-Controlled Privacy-Preserving User Profile Data Sharing based on Blockchain
by: Shrestha, Ajay Kumar, et al.
Published: (2019)

VDDP: Verifiable Distributed Differential Privacy under the Client-Server-Verifier Setup
by: Sun, Haochen, et al.
Published: (2025)

Dual Utilization of Perturbation for Stream Data Publication under Local Differential Privacy
by: Du, Rong, et al.
Published: (2025)

Privately Answering Queries on Skewed Data via Per Record Differential Privacy
by: Seeman, Jeremy, et al.
Published: (2023)

Privacy-Preserved Neural Graph Databases
by: Hu, Qi, et al.
Published: (2023)

Accelerating Privacy-Preserving Medical Record Linkage: A Three-Party MPC Approach
by: Mağara, Şeyma Selcan, et al.
Published: (2024)

PrivDPR: Synthetic Graph Publishing with Deep PageRank under Differential Privacy
by: Zhang, Sen, et al.
Published: (2025)

PriPL-Tree: Accurate Range Query for Arbitrary Distribution under Local Differential Privacy
by: Wang, Leixia, et al.
Published: (2024)

Programming Frameworks for Differential Privacy
by: Gaboardi, Marco, et al.
Published: (2024)

Decomposition-Based Optimal Bounds for Privacy Amplification via Shuffling
by: Su, Pengcheng, et al.
Published: (2025)

How to Get Actual Privacy and Utility from Privacy Models: the k-Anonymity and Differential Privacy Families
by: Domingo-Ferrer, Josep, et al.
Published: (2025)

A proposal to increase data utility on Global Differential Privacy data based on data use predictions
by: Nunes, Henry C., et al.
Published: (2024)

DP-S4S: Accurate and Scalable Select-Join-Aggregate Query Processing with User-Level Differential Privacy
by: Qiu, Yuan, et al.
Published: (2026)

DPDR: Gradient Decomposition and Reconstruction for Differentially Private Deep Learning
by: Liu, Yixuan, et al.
Published: (2024)

A Generalized Shuffle Framework for Privacy Amplification: Strengthening Privacy Guarantees and Enhancing Utility
by: Chen, E, et al.
Published: (2023)

NetDPSyn: Synthesizing Network Traces under Differential Privacy
by: Sun, Danyu, et al.
Published: (2024)

Tabular Data Synthesis with Differential Privacy: A Survey
by: Yang, Mengmeng, et al.
Published: (2024)

Towards Split Learning-based Privacy-Preserving Record Linkage
by: Zervas, Michail, et al.
Published: (2024)

The Impact of Event Data Partitioning on Privacy-aware Process Discovery
by: Lim, Jungeun, et al.
Published: (2025)

Deontic Knowledge Graphs for Privacy Compliance in Multimodal Disaster Data Sharing
by: Echenim, Kelvin Uzoma, et al.
Published: (2026)