Cover Image

Fine-grained Manipulation Attacks to Local Differential Privacy Protocols for Data Streams

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Xinyu, Ren, Xuebin, Yang, Shusen, Shi, Liang, Yu, Chia-Mu
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Poisoning Attacks to Local Differential Privacy Protocols for Trajectory Data
by: Hsu, I-Jung, et al.
Published: (2025)

Belt and Braces: When Federated Learning Meets Differential Privacy
by: Ren, Xuebin, et al.
Published: (2024)

Data Poisoning Attacks to Locally Differentially Private Range Query Protocols
by: Liao, Ting-Wei, et al.
Published: (2025)

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

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

Differentially Private Fine-Tuning of Diffusion Models
by: Tsai, Yu-Lin, et al.
Published: (2024)

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

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

Revisiting Locally Differentially Private Protocols: Towards Better Trade-offs in Privacy, Utility, and Attack Resistance
by: Arcolezi, Héber H., et al.
Published: (2025)

Data Poisoning Attacks to Locally Differentially Private Frequent Itemset Mining Protocols
by: Tong, Wei, et al.
Published: (2024)

DPI: Ensuring Strict Differential Privacy for Infinite Data Streaming
by: Feng, Shuya, et al.
Published: (2023)

MTSP-LDP: A Framework for Multi-Task Streaming Data Publication under Local Differential Privacy
by: Liu, Chang, et al.
Published: (2025)

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

Understanding Byzantine Robustness in Federated Learning with A Black-box Server
by: Zhao, Fangyuan, et al.
Published: (2024)

Local Differential Privacy is Not Enough: A Sample Reconstruction Attack against Federated Learning with Local Differential Privacy
by: You, Zhichao, et al.
Published: (2025)

Benchmarking Secure Sampling Protocols for Differential Privacy
by: Fu, Yucheng, et al.
Published: (2024)

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

Robust Single-message Shuffle Differential Privacy Protocol for Accurate Distribution Estimation
by: Li, Xiaoguang, et al.
Published: (2026)

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data
by: Murakami, Takao, et al.
Published: (2025)

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

Devil's Hand: Data Poisoning Attacks to Locally Private Graph Learning Protocols
by: He, Longzhu, et al.
Published: (2025)

LDP$^3$: An Extensible and Multi-Threaded Toolkit for Local Differential Privacy Protocols and Post-Processing Methods
by: Balioglu, Berkay Kemal, et al.
Published: (2025)

Sequential Change Detection for Multiple Data Streams with Differential Privacy
by: Zhang, Lixing, et al.
Published: (2026)

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

MPMA: Preference Manipulation Attack Against Model Context Protocol
by: Wang, Zihan, et al.
Published: (2025)

Grid-Based Decompositions for Spatial Data under Local Differential Privacy
by: Balioglu, Berkay Kemal, et al.
Published: (2024)

Securing Unbounded Differential Privacy Against Timing Attacks
by: Ratliff, Zachary, et al.
Published: (2025)

A Framework for Differential Privacy Against Timing Attacks
by: Ratliff, Zachary, et al.
Published: (2024)

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

Can Differentially Private Fine-tuning LLMs Protect Against Privacy Attacks?
by: Du, Hao, et al.
Published: (2025)

Trust Me, Import This: Dependency Steering Attacks via Malicious Agent Skills
by: Liu, Yiyong, et al.
Published: (2026)

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

Cooperative Local Differential Privacy: Securing Time Series Data in Distributed Environments
by: Singh, Bikash Chandra, et al.
Published: (2025)

DPBloomfilter: Securing Bloom Filters with Differential Privacy
by: Ke, Yekun, et al.
Published: (2025)

On the Robustness of LDP Protocols for Numerical Attributes under Data Poisoning Attacks
by: Li, Xiaoguang, et al.
Published: (2024)

Membership Reference Attack against Laplace Mechanism of Differential Privacy
by: Huang, Wen
Published: (2024)

Network-Aware Differential Privacy
by: Li, Zhou, et al.
Published: (2025)

Augmented Shuffle Protocols for Accurate and Robust Frequency Estimation under Differential Privacy
by: Murakami, Takao, et al.
Published: (2025)

Are We There Yet? Timing and Floating-Point Attacks on Differential Privacy Systems
by: Jin, Jiankai, et al.
Published: (2021)

Bipartite Randomized Response Mechanism for Local Differential Privacy
by: Zhang, Shun, et al.
Published: (2025)