3 papers
cs.DB2025
From Randomized Response to Randomized Index: Answering Subset Counting Queries with Local Differential Privacy
Qingqing Ye, Liantong Yu, Kai Huang +3
Local Differential Privacy (LDP) is the predominant privacy model for safeguarding individual data privacy. Existing perturbation mechanisms typically require perturbing the origin…
cs.CR2025
Multi-class Item Mining under Local Differential Privacy
Yulian Mao, Qingqing Ye, Rong Du +3
Item mining, a fundamental task for collecting statistical data from users, has raised increasing privacy concerns. To address these concerns, local differential privacy (LDP) was…
cs.CR2024
Data Poisoning Attacks to Local Differential Privacy Protocols for Graphs
Xi He, Kai Huang, Qingqing Ye +1
Graph analysis has become increasingly popular with the prevalence of big data and machine learning. Traditional graph data analysis methods often assume the existence of a trusted…