1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.CR2025
Frequency Estimation of Correlated Multi-attribute Data under Local Differential Privacy
Shafizur Rahman Seeam, Ye Zheng, Yidan Hu
Large-scale data collection, from national censuses to IoT-enabled smart homes, routinely gathers dozens of attributes per individual. These multi-attribute datasets are crucial fo…
cs.CR2025
Optimal Piecewise-based Mechanism for Collecting Bounded Numerical Data under Local Differential Privacy
Ye Zheng, Sumita Mishra, Yidan Hu
Numerical data with bounded domains is a common data type in personal devices, such as wearable sensors. While the collection of such data is essential for third-party platforms, i…
cs.CR2025★ 1 cited
Locally Differentially Private Frequency Estimation via Joint Randomized Response
Ye Zheng, Shafizur Rahman Seeam, Yidan Hu +2
Local Differential Privacy (LDP) has been widely recognized as a powerful tool for providing a strong theoretical guarantee of data privacy to data contributors against an untruste…