Marc Chaumont
Marc Chaumont
Associate Professor, HDR (accredited to supervise research), Hors Classe, University of Nîmes, LIRMM
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Cited by
Cited by
A reversible data hiding method for encrypted images
W Puech, M Chaumont, O Strauss
Security, forensics, steganography, and watermarking of multimedia contents …, 2008
Yedroudj-net: An efficient CNN for spatial steganalysis
M Yedroudj, F Comby, M Chaumont
2018 IEEE international conference on acoustics, speech and signal …, 2018
Camera model identification with the use of deep convolutional neural networks
A Tuama, F Comby, M Chaumont
2016 IEEE International workshop on information forensics and security (WIFS …, 2016
A deep learning method for accurate and fast identification of coral reef fishes in underwater images
S Villon, D Mouillot, M Chaumont, ES Darling, G Subsol, T Claverie, ...
Ecological informatics 48, 238-244, 2018
Deep learning is a good steganalysis tool when embedding key is reused for different images, even if there is a cover source-mismatch
L Pibre, P Jérôme, D Ienco, M Chaumont
arXiv preprint arXiv:1511.04855, 2015
Fast protection of H. 264/AVC by selective encryption of CAVLC and CABAC for I and P frames
Z Shahid, M Chaumont, W Puech
IEEE Transactions on Circuits and Systems for Video Technology 21 (5), 565-576, 2011
Coral reef fish detection and recognition in underwater videos by supervised machine learning: Comparison between Deep Learning and HOG+ SVM methods
S Villon, M Chaumont, G Subsol, S Villéger, T Claverie, D Mouillot
International Conference on Advanced Concepts for Intelligent Vision Systems …, 2016
Deep learning in steganography and steganalysis
M Chaumont
Digital media steganography, 321-349, 2020
Adaptive steganography by oracle (ASO)
S Kouider, M Chaumont, W Puech
2013 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2013
Pelican: deep architecture for the light curve analysis
J Pasquet, J Pasquet, M Chaumont, D Fouchez
Astronomy & Astrophysics 627, A21, 2019
Camera model identification based machine learning approach with high order statistics features
A Tuama, F Comby, M Chaumont
2016 24th European Signal Processing Conference (EUSIPCO), 1183-1187, 2016
Steganalysis with cover-source mismatch and a small learning database
J Pasquet, S Bringay, M Chaumont
2014 22nd European signal processing conference (EUSIPCO), 2425-2429, 2014
How to augment a small learning set for improving the performances of a CNN-based steganalyzer?
M Yedroudj, M Chaumont, F Comby
arXiv preprint arXiv:1801.04076, 2018
Color image steganalysis based on steerable gaussian filters bank
H Abdulrahman, M Chaumont, P Montesinos, B Magnier
Proceedings of the 4th ACM workshop on Information Hiding and Multimedia …, 2016
Considering the reconstruction loop for data hiding of intra-and inter-frames of H. 264/AVC
Z Shahid, M Chaumont, W Puech
Signal, Image and Video Processing 7, 75-93, 2013
A DCT-based data-hiding method to embed the color information in a JPEG grey level image
M Chaumont, W Puech
2006 14th European Signal Processing Conference, 1-5, 2006
A new method to control error rates in automated species identification with deep learning algorithms
S Villon, D Mouillot, M Chaumont, G Subsol, T Claverie, S Villéger
Scientific reports 10 (1), 10972, 2020
Steganography using a 3-player game
M Yedroudj, F Comby, M Chaumont
Journal of Visual Communication and Image Representation 72, 102910, 2020
Deep learning in steganography and steganalysis from 2015 to 2018
M Chaumont
arXiv preprint arXiv:1904.01444, 2019
A CNN adapted to time series for the classification of Supernovae
A Brunel, J Pasquet, J Pasquet, N Rodriguez, F Comby, D Fouchez, ...
arXiv preprint arXiv:1901.00461, 2019
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