DPDSyn guides differentially private dataset synthesis with a downstream-task model trained under DP, yielding higher accuracy and faster generation than prior distribution-selection methods.
Data synthesis via differentially private markov random fields.Proceedings of the VLDB Endow- ment, 14(11):2190–2202,
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DPDSyn: Improving Differentially Private Dataset Synthesis for Model Training by Downstream Task Guidance
DPDSyn guides differentially private dataset synthesis with a downstream-task model trained under DP, yielding higher accuracy and faster generation than prior distribution-selection methods.