A precision-recall composite measure with an original-data baseline labels over 25% of attacks on weakly anonymized microdata as at risk that the prior accuracy-only approach called safe.
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Towards Better Attribute Inference Vulnerability Measures
A precision-recall composite measure with an original-data baseline labels over 25% of attacks on weakly anonymized microdata as at risk that the prior accuracy-only approach called safe.