CNN-Assisted Steganography -- Integrating Machine Learning with Established Steganographic Techniques. (arXiv:2304.12503v1 [cs.CR])

We propose a method to improve steganography by increasing the resilience of
stego-media to discovery through steganalysis. Our approach enhances a class of
steganographic approaches through the inclusion of a steganographic assistant
convolutional neural network (SA-CNN). Previous research showed success in
discovering the presence of hidden information within stego-images using
trained neural networks as steganalyzers that are applied to stego-images. Our
results show that such steganalyzers are less effective when SA-CNN is employed
during the generation of a stego-image. We …

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