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JPEG Steganalysis Based on Steganographic Feature Enhancement and Graph Attention Learning
However, in order to detect whether secret information is hidden within JEPG images, the majority of existing algorithms are designed in conjunction with the popular computer vision related networks, without considering the key characteristics appeared in image steganalysis.
Graph Representation Learning for Spatial Image Steganalysis
In this paper, we introduce a graph representation learning architecture for spatial image steganalysis, which is motivated by the assumption that steganographic modifications unavoidably distort the statistical characteristics of the hidden graph features derived from cover images.
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