MDGAN: Boosting Anomaly Detection Using \\Multi-Discriminator Generative Adversarial Networks

Yotam Intrator, Gilad Katz, Asaf Shabtai

Anomaly detection is often considered a challenging field of machine learning due to the difficulty of obtaining anomalous samples for training and the need to obtain a sufficient…