Tab-PE extends Private Evolution to tabular data with heuristic operators, outperforming AIM by up to 10% classification accuracy and 28x speed on high-order correlation datasets under differential privacy.
arXiv preprint arXiv:2411.03351 , year=
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SelPE introduces a selection-guided progressive evolution method for private structured text synthesis that decouples abstraction from schema realization and claims better validity and utility under tight DP budgets in low-data settings.
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Differentially Private Synthetic Data via APIs 4: Tabular Data
Tab-PE extends Private Evolution to tabular data with heuristic operators, outperforming AIM by up to 10% classification accuracy and 28x speed on high-order correlation datasets under differential privacy.