  Traditional image steganography modifies the content of the image more or
less, it is hard to resist the detection of image steganalysis tools. To
address this problem, a novel method named generative coverless information
hiding method based on generative adversarial networks is proposed in this
paper. The main idea of the method is that the class label of generative
adversarial networks is replaced with the secret information as a driver to
generate hidden image directly, and then extract the secret information from
the hidden image through the discriminator. It's the first time that the
coverless information hiding is achieved by generative adversarial networks.
Compared with the traditional image steganography, this method does not modify
the content of the original image. therefore, this method can resist image
steganalysis tools effectively. In terms of steganographic capacity,
anti-steganalysis, safety and reliability, the experimen shows that this hidden
algorithm performs well.
