Fraud Detection with Generative Adversarial Nets (GANs)

Application of GANs for data augmentation to adjust an imbalanced dataset

“Generative Adversarial Nets” (GANs) demonstrated outstanding performance in generating realistic synthetic data which are indistinguishable from the real data in the past. Unfortunately, GANs caught the public’s attention because of its unethical applications, deepfakes (Knight, 2018).

This article illustrates a case with a good motive in the application of GANs in the context of fraud detection.

Fraud detection is an application of …

data-augmentation fraud detection generative-adversarial generative-ai-use-cases imbalanced-data