AnoGAN for Tabular Data: A Novel Approach to Detecting Anomalies in Structured Datasets

This research explores the application of Anomaly Generative Adversarial Networks (AnoGAN) to detect anomalies in tabular data, addressing challenges in anomaly detection and demonstrating the effectiveness of GAN-based methods compared to traditional techniques.