2025
Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data
NeurIPS 2025poster
Differentially private (DP) machine learning often relies on the availability of public data for tasks like privacy-utility trade-off estimation, hyperparameter tuning, and pretraining. While public data assumptions may be reasonable in text and image data, they are less likely to hold for tabular d…