papersSEP 10 04:00 UTC
Paper Revisits Whether Neural Networks Can Match Statistical Models for DP Tabular Synthesis
A revised arXiv paper challenges the widely held view that statistical methods outperform neural networks when generating differentially private tabular data. The authors argue that this conclusion glosses over cases involving densely correlated data, where neural approaches may be more effective. The submission is an updated version of previously posted research.