The traditional information hiding is realized by embedding the secret information into the multimedia, but it will inevitably leave the modification mark in the carrier. This paper proposed a new method of coverless information hiding. First, the improved Wasserstein GAN (WGAN-GP) model is constructed, and the model is trained with disguised images and secret images. Then, after the model is stable, a disguised image is passed to the generator. Finally, the generator generates the image that is visually the same as the secret image, thereby achieving the same effect as transmitting the secret image. Experimental results show that this method not only has a good effect on the security of secret information transmission, but also increases the capacity of information hiding.

中文翻译：

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基于生成对抗网络的隐秘隐写方法

传统的信息隐藏是通过将机密信息嵌入到多媒体中来实现的，但是不可避免地会将修改标记留在载体中。本文提出了一种无封面信息隐藏的新方法。首先，构建改进的Wasserstein GAN（WGAN-GP）模型，并使用伪装图像和秘密图像训练该模型。然后，在模型稳定之后，将伪装的图像传递到生成器。最后，生成器生成在视觉上与秘密图像相同的图像，从而获得与发送秘密图像相同的效果。实验结果表明，该方法不仅对秘密信息传输的安全性有很好的效果，而且还增加了信息隐藏的能力。