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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3159911
Abstract: Recent advances in deep learning have led to a paradigm shift in the field of reversible steganography. A fundamental pillar of reversible steganography is predictive modelling which can be realised via deep neural networks. However,…
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Keywords:
neural networks;
bayesian neural;
uncertainty;
reversible steganography ... See more keywords