Mukul Bijalwan

Privacy-Utility Trade-offs in Differentially Private Synthetic Tabular Data: a reproducible benchmark on the UCI Heart Disease (Cleveland) dataset

A reproducible benchmark measuring how the utility of differentially private (DP) synthetic tabular data degrades as the privacy budget tightens, and separating the error introduced by the synthesizer from that introduced by the downstream DP estimator. Contents heart_benchmark_results.csv — tidy results, 2,444 rows x...