steganogan: high capacity image steganography with gans

Steganogan is a technique for hiding secret information within an image using Generative Adversarial Networks (GANs). It is a type of steganography, which is the practice of concealing a message within another message.

The basic idea behind Steganogan is to use a GAN to generate a cover image that contains the secret message. The generator network in the GAN learns to create images that closely resemble the real images in the dataset, while the discriminator network learns to distinguish between real and fake images.

In Steganogan, the generator is trained on a dataset of cover images, while the discriminator is trained to distinguish between real images and images that have been modified to contain the secret message. The generator is then used to create a cover image that contains the secret message, which is hidden within the image in a way that is difficult to detect.

Steganogan has high capacity, which means it can hide a large amount of information within an image. It also has the advantage of being difficult to detect, as the hidden message is integrated into the cover image in a way that makes it difficult to distinguish from the original image.

Overall, Steganogan is a powerful technique for high capacity image steganography that uses GANs to create cover images that contain hidden messages.