2026
Robust Detection of Synthetic Tabular Data Under Schema Variability
AAAI 2026technical
The rise of powerful generative models has sparked concerns over data authenticity. While detection methods have been extensively developed for images and text, the case of tabular data, despite its ubiquity, has been largely overlooked. Yet, detecting synthetic tabular data is especially challengin