Deep Learning for Predictive Analytics in Reversible Steganography. (arXiv:2106.06924v2 [cs.MM] UPDATED)

Deep learning is regarded as a promising solution for reversible
steganography. The recent development of end-to-end learning has made it
possible to bypass multiple intermediate stages of steganographic operations
with a pair of encoder and decoder neural networks. This framework is, however,
incapable of guaranteeing perfect reversibility since it is difficult for this
kind of monolithic machinery, in the form of a black box, to learn the
intricate logics of reversible computing. A more reliable way to develop a
learning-based …

analytics arxiv deep learning learning predictive predictive analytics