Risk In Context: Benchmarking Privacy Leakage of Foundation Models in Synthetic Tabular Data Generation

Jessup Byun, Xiaofeng Lin, Joshua Ward +1

Synthetic tabular data is essential for machine learning workflows, especially for expanding small or imbalanced datasets and enabling privacy-preserving data sharing. However, sta…