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In data privacy, t-closeness refers to a privacy criterion requiring the distribution of a sensitive attribute in each equivalence class to lie within distance t of its overall distribution. This meaning comes from Li (2007) in 2007 IEEE 23rd International Conference on Data Engineering.[1]
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