Generative Adversarial Networks Generating Robust Encodings for Network Exchange 


GANGRENE is a proof-of-concept steganographic capability based on an emerging way of training neural networks known as Generative Adversarial Networks (GANs). It is a medium-agnostic steganography framework for embedding messages in features rather than noise developed under internal research and development. For example, if the medium is a face, the GAN learns to embed messages by slightly altering the features of the face (e.g., opening the mouth, closing the eyes, changing the hair color).

  • Medium agnostic
  • Non-static and adaptive
  • Functional Testing
  • Hides in features, not in noise

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