Tabular data—rows of samples and columns of sample features—are ubiquitously used across disciplines. Yet the tabular representation makes it difficult to discover underlying associations in the data ...
Generating high-fidelity synthetic tabular data under strict differential privacy (DP) constraints is a critical challenge. The practical deployment of DP-GANs is often derailed by extreme ...
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