Generative Adversarial Networks (GANs) have been increasingly used in generating deepfacks, which are believed one of the biggest AI concerns. This project aims to look into the AI engine, GANs, to develope approaches to analyse GAN fingerprints in terms of its existence, uniqueness, persistence, and superiority.

This project needs strong AI background and python programming.