, Learning and transferring representations for image steganalysis using convolutional neural network, IEEE International Conference on Image Processing (ICIP), pp.2752-2756, 2016.
Color image steganalysis based on steerable Gaussian filters bank, The 4th ACM Workshop on Information Hiding and Multimedia Security, pp.109-114, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01374101
On the limits of steganography, IEEE Journal of Selected Areas in Communication, vol.16, issue.4, pp.474-481, 1998. ,
Break our steganographic system -the ins and outs of organizing BOSS, Information Hiding, 13th International Conference, vol.6958, pp.59-70, 2011. ,
URL : https://hal.archives-ouvertes.fr/hal-00648057
, , 2007.
Deep residual network for steganalysis of digital images, IEEE Transactions on Information Forensics and Security, 2018. ,
An information-theoretic model for steganography. Information and Computation, vol.192, pp.41-56, 2004. ,
Variable multi-dimensional co-occurrence for steganalysis, Digital Forensics and Watermarking, 13th International Workshop, vol.9023, pp.559-573, 2014. ,
Is ensemble classifier needed for steganalysis in highdimensional feature spaces, IEEE International Workshop on Information Forensics and Security, 2015. ,
Steganalysis features for content-adaptive JPEG steganography, IEEE Transactions on Information Forensics and Security, vol.11, issue.8, pp.1736-1746, 2016. ,
Improving selectionchannel-aware steganalysis features, Proceedings IS&T, Electronic Imaging, Media Watermarking, Security, and Forensics 2016, 2016. ,
Selection-channel-aware rich model for steganalysis of digital images, IEEE International Workshop on Information Forensics and Security, 2014. ,
The Square Root Law of steganographic capacity for Markov covers, Proceedings SPIE, Electronic Imaging, Media Forensics and Security, vol.7254, pp.8-9, 2009. ,
Rich models for steganalysis of digital images, IEEE Transactions on Information Forensics and Security, vol.7, issue.3, pp.868-882, 2011. ,
Rich model for steganalysis of color images, Sixth IEEE International Workshop on Information Forensics and Security, 2014. ,
Low-complexity features for JPEG steganalysis using undecimated DCT, IEEE Transactions on Information Forensics and Security, vol.10, issue.2, pp.219-228, 2015. ,
The square root law of steganography: Bringing theory closer to practice, The 5th ACM Workshop on Information Hiding and Multimedia Security, Philadelphia, 2017. ,
On the relationship between embedding costs and steganographic capacity, The 6th ACM Workshop on Information Hiding and Multimedia Security, 2018. ,
The Square Root Law of steganographic capacity ,
, Proceedings of the 10th ACM Multimedia & Security Workshop, pp.107-116, 2008.
Steganalysis of JPEG images using rich models, Proceedings SPIE, Electronic Imaging, Media Watermarking, Security, and Forensics 2012, vol.8303, pp.0-1, 2012. ,
Low-complexity image denoising based on statistical modeling of wavelet coefficients, IEEE Signal Processing Letters, vol.6, issue.12, pp.300-303, 1999. ,
New results on steganographic capacity, Proceedings of the Conference on Information Sciences and Systems, 2004. ,
Deep learning for steganalysis via convolutional neural networks, Proceedings SPIE, Electronic Imaging, Media Watermarking, Security, and Forensics, vol.9409, pp.0-1, 2015. ,
Contentadaptive steganography by minimizing statistical detectability, IEEE Transactions on Information Forensics and Security, vol.11, issue.2, pp.221-234, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01906608
Steganalysis of adaptive JPEG steganography using 2D Gabor filters, The 3rd ACM Workshop on Information Hiding and Multimedia Security, IH&MMSec '15, 2015. ,
Perfectly secure steganography: Capacity, error exponents, and code constructions, IEEE Transactions on Information Theory, Special Issue on Security, vol.55, issue.6, pp.2706-2722, 2008. ,
Deep convolutional neural network to detect J-UNIWARD, The 5th ACM Workshop on Information Hiding and Multimedia Security, 2017. ,
Ensemble of CNNs for steganalysis: An empirical study, The 4th ACM Workshop on Information Hiding and Multimedia Security, IH&MMSec '16, pp.5-10, 2016. ,
Structural design of convolutional neural networks for steganalysis, IEEE Signal Processing Letters, vol.23, issue.5, pp.708-712, 2016. ,
Steganalysis based on awareness of selection-channel and deep learning, Internartional Workshop on Digital Forensics and Watermarking, vol.10431, pp.263-272, 2017. ,
DOI : 10.1007/978-3-319-64185-0_20
JPEG steganalysis based on densenet, 2017. ,
Deep learning hierarchical representations for image steganalysis, IEEE Transactions on Information Forensics and Security, vol.12, issue.11, pp.2545-2557, 2017. ,
DOI : 10.1109/tifs.2017.2710946
Yedroudjnet: An efficient CNN for spatial steganalysis, Canada, 2018. ,
DOI : 10.1109/icassp.2018.8461438
Large-scale JPEG image steganalysis using hybrid deep-learning framework, IEEE Transactions on Information Forensics and Security, vol.13, issue.5, pp.1200-1214, 2018. ,
DOI : 10.1109/tifs.2017.2779446
URL : http://arxiv.org/pdf/1611.03233