QIDLearningLib is the first comprehensive Python library designed for automated quasi-identifier (QID) recognition and evaluation in tabular datasets. It integrates metrics from causality, data privacy, and data utility to provide a holistic assessment of potential QIDs, enabling systematic identification and mitigation of privacy risks in data sharing and analysis.
Project description
QIDLearningLib
A Python library that provides various metrics that may be used in the quasi-identification recognition process. These metrics measure data privacy, data utility, performance of the QID recognition and others.
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