DeSIA infers sensitive attributes from limited fixed aggregate statistics by first checking whether a value is uniquely forced by the counts, then using a shadow-model classifier, outperforming reconstruction baselines on census microdata.
”what do you want from theory alone?” experimenting with tight auditing of differentially private syn- thetic data generation
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DeSIA: Attribute Inference Attacks Against Limited Fixed Aggregate Statistics
DeSIA infers sensitive attributes from limited fixed aggregate statistics by first checking whether a value is uniquely forced by the counts, then using a shadow-model classifier, outperforming reconstruction baselines on census microdata.