:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Shuai, Lisha, Dong, Jiuling, Zhang, Nan, Tan, Shaofeng, Zhang, Haokun, Song, Zilong, Dong, Gaoya, Yang, Xiaolong
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security
Online Access:	https://arxiv.org/abs/2510.26102
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

PoisonCatcher: Revealing and Identifying LDP Poisoning Attacks in IIoT
by: Shuai, Lisha, et al.
Published: (2024)

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)

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

On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy
by: Wang, Zijian, et al.
Published: (2025)

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

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

Don't Hash Me Like That: Exposing and Mitigating Hash-Induced Unfairness in Local Differential Privacy
by: Balioglu, Berkay Kemal, et al.
Published: (2025)

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

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

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

Blockchain Address Poisoning
by: Tsuchiya, Taro, et al.
Published: (2025)

Exposing Vulnerabilities in RL: A Novel Stealthy Backdoor Attack through Reward Poisoning
by: Zhang, Bokang, et al.
Published: (2025)

Noise Variance Optimization in Differential Privacy: A Game-Theoretic Approach Through Per-Instance Differential Privacy
by: Ryu, Sehyun, et al.
Published: (2024)

The Gradient Puppeteer: Adversarial Domination in Gradient Leakage Attacks through Model Poisoning
by: Xiang, Kunlan, et al.
Published: (2025)

Poisoning Prevention in Federated Learning and Differential Privacy via Stateful Proofs of Execution
by: Rattanavipanon, Norrathep, et al.
Published: (2024)

Robustness of Locally Differentially Private Graph Analysis Against Poisoning
by: Imola, Jacob, et al.
Published: (2022)

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

Beyond Epsilon: A Principled QIF Framework for Local Differential Privacy
by: Gonze, Ramon G., et al.
Published: (2026)

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

Beyond Theoretical Bounds: Empirical Privacy Loss Calibration for Text Rewriting Under Local Differential Privacy
by: Li, Weijun, et al.
Published: (2026)

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

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

A Privacy-Preserving Localization Scheme with Node Selection in Mobile Networks
by: Xie, Liangbo, et al.
Published: (2026)

Depth Gives a False Sense of Privacy: LLM Internal States Inversion
by: Dong, Tian, et al.
Published: (2025)

Exposed: Shedding Blacklight on Online Privacy
by: Shen, Lucas, et al.
Published: (2025)

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

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

Hunting Vulnerability Variants in AI Infra: Measurement and Reference-Driven Detection
by: Dong, Tian, et al.
Published: (2026)

Exposing LLM User Privacy via Traffic Fingerprint Analysis: A Study of Privacy Risks in LLM Agent Interactions
by: Zhang, Yixiang, et al.
Published: (2025)

Towards Stealthy and Effective Backdoor Attacks on Lane Detection: A Naturalistic Data Poisoning Approach
by: Liao, Yifan, et al.
Published: (2025)

Privacy-Preserving Federated Learning Scheme with Mitigating Model Poisoning Attacks: Vulnerabilities and Countermeasures
by: Wu, Jiahui, et al.
Published: (2025)

VisPoison: An Effective Backdoor Attack Framework for Tabular Data Visualization Models
by: Li, Shuaimin, et al.
Published: (2024)

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

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

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

Fine-grained Manipulation Attacks to Local Differential Privacy Protocols for Data Streams
by: Li, Xinyu, et al.
Published: (2025)

Privacy for Free: Leveraging Local Differential Privacy Perturbed Data from Multiple Services
by: Du, Rong, 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)

A Privacy-Preserving Framework for Advertising Personalization Incorporating Federated Learning and Differential Privacy
by: Li, Xiang, et al.
Published: (2025)