:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhang, Shun, Zhu, Hai, Chen, Zhili, Hu, Haibo
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security
Online Access:	https://arxiv.org/abs/2504.20926
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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)

Privacy for Free: Leveraging Local Differential Privacy Perturbed Data from Multiple Services
by: Du, Rong, et al.
Published: (2025)

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

Multi-class Item Mining under Local Differential Privacy
by: Mao, Yulian, et al.
Published: (2025)

PrivShape: Extracting Shapes in Time Series under User-Level Local Differential Privacy
by: Mao, Yulian, et al.
Published: (2024)

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

LDPRecover: Recovering Frequencies from Poisoning Attacks against Local Differential Privacy
by: Sun, Xinyue, et al.
Published: (2024)

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

FedFDP: Fairness-Aware Federated Learning with Differential Privacy
by: Ling, Xinpeng, et al.
Published: (2024)

Local Distance Query with Differential Privacy
by: Sheng, Weihong, et al.
Published: (2025)

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

Locally Differentially Private Frequency Estimation via Joint Randomized Response
by: Zheng, Ye, et al.
Published: (2025)

Degree-Preserving Randomized Response for Graph Neural Networks under Local Differential Privacy
by: Hidano, Seira, et al.
Published: (2022)

Tight Differential Privacy Guarantees for the Shuffle Model with $k$-Randomized Response
by: Biswas, Sayan, et al.
Published: (2022)

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

On the differential privacy of dynamic location obfuscation with personalized error bounds
by: Shun, Zhang, et al.
Published: (2021)

ALI-DPFL: Differentially Private Federated Learning with Adaptive Local Iterations
by: Ling, Xinpeng, et al.
Published: (2023)

TraCS: Trajectory Collection in Continuous Space under Local Differential Privacy
by: Zheng, Ye, et al.
Published: (2024)

Optimal Piecewise-based Mechanism for Collecting Bounded Numerical Data under Local Differential Privacy
by: Zheng, Ye, et al.
Published: (2025)

Differential Privacy in Federated Learning: Mitigating Inference Attacks with Randomized Response
by: Ozturk, Ozer, et al.
Published: (2025)

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

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

Quantifying Classifier Utility under Local Differential Privacy
by: Zheng, Ye, et al.
Published: (2025)

Frequency Estimation of Correlated Multi-attribute Data under Local Differential Privacy
by: Seeam, Shafizur Rahman, et al.
Published: (2025)

Randomized Response with Gradual Release of Privacy Budget
by: Pan, Mingen
Published: (2024)

Approximate Differential Privacy of the $\ell_2$ Mechanism
by: Joseph, Matthew, et al.
Published: (2025)

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

Differential Privacy for Network Assortativity
by: Ma, Fei, et al.
Published: (2025)

N-output Mechanism: Estimating Statistical Information from Numerical Data under Local Differential Privacy
by: Baek, Incheol, et al.
Published: (2025)

Mitigating Data Poisoning Attacks to Local Differential Privacy
by: Li, Xiaolin, et al.
Published: (2025)

Poisoning Attacks to Local Differential Privacy for Ranking Estimation
by: Zhan, Pei, et al.
Published: (2025)

Local Differential Privacy for Tensors in Distributed Computing Systems
by: Yuan, Yachao, et al.
Published: (2025)

Local Layer-wise Differential Privacy in Federated Learning
by: Li, Yunbo, et al.
Published: (2026)

Less is More: Revisiting the Gaussian Mechanism for Differential Privacy
by: Ji, Tianxi, et al.
Published: (2023)

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

Local Differential Privacy for Federated Learning with Fixed Memory Usage and Per-Client Privacy
by: Behnia, Rouzbeh, et al.
Published: (2025)

PEEL: A Poisoning-Exposing Encoding Theoretical Framework for Local Differential Privacy
by: Shuai, Lisha, et al.
Published: (2025)

Differential Privacy in Aggregated Mobility Networks: Balancing Privacy and Utility
by: Haydari, Ammar, et al.
Published: (2021)

Privacy-Optimized Randomized Response for Sharing Multi-Attribute Data
by: Yamamoto, Akito, et al.
Published: (2024)