SORTAD: Self-Supervised Optimized Random Transformations for Anomaly Detection in Tabular Data

Guy Hay, Pablo Liberman

We consider a self-supervised approach to anomaly detection in tabular data. Random transformations are applied to the data, and then each transformation is identified based on its…