Dynamics of information diffusion and its applications on complex networks
The ongoing rapid expansion of the Word Wide Web (WWW) greatly increases the
information of effective transmission from heterogeneous individuals to various systems …
information of effective transmission from heterogeneous individuals to various systems …
A review of image steganalysis techniques for digital forensics
K Karampidis, E Kavallieratou… - Journal of information …, 2018 - Elsevier
Steganalysis and steganography are the two different sides of the same coin.
Steganography tries to hide messages in plain sight while steganalysis tries to detect their …
Steganography tries to hide messages in plain sight while steganalysis tries to detect their …
Deep residual network for steganalysis of digital images
M Boroumand, M Chen, J Fridrich - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Steganography detectors built as deep convolutional neural networks have firmly
established themselves as superior to the previous detection paradigm-classifiers based on …
established themselves as superior to the previous detection paradigm-classifiers based on …
Structural design of convolutional neural networks for steganalysis
Recent studies have indicated that the architectures of convolutional neural networks
(CNNs) tailored for computer vision may not be best suited to image steganalysis. In this …
(CNNs) tailored for computer vision may not be best suited to image steganalysis. In this …
An automatic cost learning framework for image steganography using deep reinforcement learning
Automatic cost learning for steganography based on deep neural networks is receiving
increasing attention. Steganographic methods under such a framework have been shown to …
increasing attention. Steganographic methods under such a framework have been shown to …
Large-scale JPEG image steganalysis using hybrid deep-learning framework
Adoption of deep learning in image steganalysis is still in its initial stage. In this paper, we
propose a generic hybrid deep-learning framework for JPEG steganalysis incorporating the …
propose a generic hybrid deep-learning framework for JPEG steganalysis incorporating the …
Fast and effective global covariance pooling network for image steganalysis
X Deng, B Chen, W Luo, D Luo - Proceedings of the ACM workshop on …, 2019 - dl.acm.org
Recently, deep learning based methods have achieved superior performance compared to
conventional methods based on hand-crafted features in image steganalysis. However …
conventional methods based on hand-crafted features in image steganalysis. However …
Reload: Using reinforcement learning to optimize asymmetric distortion for additive steganography
Recently, the success of non-additive steganography has demonstrated that asymmetric
distortion can remarkably improve security performance compared with symmetric cost …
distortion can remarkably improve security performance compared with symmetric cost …
A new adversarial embedding method for enhancing image steganography
Image steganography aims to embed secret messages into cover images in an
imperceptible manner. While steganalysis tries to identify stegos from covers, which is a …
imperceptible manner. While steganalysis tries to identify stegos from covers, which is a …
New steganalytic features for spatial image steganography based on derivative filters and threshold LBP operator
The standard local binary pattern (LBP) operator shows its versatility in performing image
classification-related tasks, including texture analysis, object recognition, and steganalysis …
classification-related tasks, including texture analysis, object recognition, and steganalysis …