20 citations · 42 across the 12 of their papers we have counts for
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cs.MM2017
Improving Blind Steganalysis in Spatial Domain using a Criterion to Choose the Appropriate Steganalyzer between CNN and SRM+EC
Jean-Francois Couchot, Raphaël Couturier, Michel Salomon
Conventional state-of-the-art image steganalysis approaches usually consist of a classifier trained with features provided by rich image models. As both features extraction and cla…
cs.MM2016★ 20 cited
Steganalysis via a Convolutional Neural Network using Large Convolution Filters for Embedding Process with Same Stego Key
Jean-François Couchot, Raphaël Couturier, Christophe Guyeux +1
For the past few years, in the race between image steganography and steganalysis, deep learning has emerged as a very promising alternative to steganalyzer approaches based on rich…