PrivMDC: leveraging multi-dimensional correlations to answer differentially private range queries
Answering an unbounded number of multi-dimensional range queries while preserving privacy is a significant problem that has been the focus of recent studies since range queries serve as a core component of many data analysis tasks. Existing techniques that use local differential privacy (LDP), which adds noise to users...