50 citations · 50 across the 3 of their papers we have counts for
9 papers
LSSD: a Controlled Large JPEG Image Database for Deep-Learning-based Steganalysis "into the Wild"
Hugo Ruiz, Mehdi Yedroudj, Marc Chaumont +2
For many years, the image databases used in steganalysis have been relatively small, i.e. about ten thousand images. This limits the diversity of images and thus prevents large-sca…
Analysis of the Scalability of a Deep-Learning Network for Steganography "Into the Wild"
Hugo Ruiz, Marc Chaumont, Mehdi Yedroudj +3
Since the emergence of deep learning and its adoption in steganalysis fields, most of the reference articles kept using small to medium size CNN, and learn them on relatively small…
Steganography using a 3 player game
Mehdi Yedroudj, Frédéric Comby, Marc Chaumont
Image steganography aims to securely embed secret information into cover images. Until now, adaptive embedding algorithms such as S-UNIWARD or Mi-POD, are among the most secure and…
Pooled Steganalysis in JPEG: how to deal with the spreading strategy?
Ahmad Zakaria, Marc Chaumont, Gérard Subsol
In image pooled steganalysis, a steganalyst, Eve, aims to detect if a set of images sent by a steganographer, Alice, to a receiver, Bob, contains a hidden message. We can reasonabl…
Deep Learning in steganography and steganalysis from 2015 to 2018
Marc Chaumont
For almost 10 years, the detection of a hidden message in an image has been mainly carried out by the computation of Rich Models (RM), followed by classification using an Ensemble…
PELICAN: deeP architecturE for the LIght Curve ANalysis
Johanna Pasquet, Jérôme Pasquet, Marc Chaumont +1
We developed a deeP architecturE for the LIght Curve ANalysis (PELICAN) for the characterization and the classification of light curves. It takes light curves as input, without any…