Generative Adversarial Networks (GANs), designed by Ian Goodfellow in 2014, are used to generate deepfake videos. GANs consist of a generator that creates fake data and a discriminator that distinguishes real from fake; through this adversarial process the generator learns to produce highly realistic content including deepfakes. CNNs are used for recognition, not generation; blockchain handles secure record-keeping; and quantum computing is unrelated to deepfake creation.