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DPM: Clustering Sensitive Data through Separation
CCS '24: Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications SecurityPages 273–287https://doi.org/10.1145/3658644.3690271Clustering is an important tool for data exploration where the goal is to subdivide a data set into disjoint clusters that fit well into the underlying data structure. When dealing with sensitive data, privacy-preserving algorithms aim to approximate the ...
