Applications of Generative Adversarial Networks in Anomaly Detection: A Systematic Literature Review

no code implementations • 22 Oct 2021 • Mikael Sabuhi, Ming Zhou, Cor-Paul Bezemer, Petr Musilek

The goal of this review paper is to analyze and summarize: (1) which anomaly detection techniques can benefit from certain types of GANs, and how, (2) in which application domains GAN-assisted anomaly detection techniques have been applied, and (3) which datasets and performance metrics have been used to evaluate these techniques.

Anomaly Detection