• Computer Science, Mathematics
  • Published in ArXiv 2017

Steganographic Generative Adversarial Networks

@article{Volkhonskiy2017SteganographicGA,
  title={Steganographic Generative Adversarial Networks},
  author={Denis Volkhonskiy and Ivan Nazarov and Boris Borisenko and Evgeny Burnaev},
  journal={ArXiv},
  year={2017},
  volume={abs/1703.05502}
}
Steganography is collection of methods to hide secret information ("payload") within non-secret information ("container"). Its counterpart, Steganalysis, is the practice of determining if a message contains a hidden payload, and recovering it if possible. Presence of hidden payloads is typically detected by a binary classifier. In the present study, we propose a new model for generating image-like containers based on Deep Convolutional Generative Adversarial Networks (DCGAN). This approach… CONTINUE READING

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