Machine Learning, Generative Adversarial, Deep Learning, Azure.
spending time improving both the attacker and the defense in unison. Or if the data is too sensitive or against regulations to be viewed by the parties who are capable of testing. 5. When and where can GANs be used? A GAN can be implemented when there is at least some existing real data for the