Kernel methods in computer vision
CH Lampert - … and Trends® in Computer Graphics and …, 2009 - nowpublishers.com
Over the last years, kernel methods have established themselves as powerful tools for
computer vision researchers as well as for practitioners. In this tutorial, we give an …
computer vision researchers as well as for practitioners. In this tutorial, we give an …
CFA-aware features for steganalysis of color images
M Goljan, J Fridrich - Media Watermarking, Security, and …, 2015 - spiedigitallibrary.org
Color interpolation is a form of upsampling, which introduces constraints on the relationship
between neighboring pixels in a color image. These constraints can be utilized to …
between neighboring pixels in a color image. These constraints can be utilized to …
Performance study of common image steganography and steganalysis techniques
M Kharrazi, HT Sencar… - Journal of Electronic …, 2006 - spiedigitallibrary.org
We investigate the performance of state of the art universal steganalyzers proposed in the
literature. These universal steganalyzers are tested against a number of well-known …
literature. These universal steganalyzers are tested against a number of well-known …
Feature mining and pattern classification for steganalysis of LSB matching steganography in grayscale images
In this paper, we present a scheme based on feature mining and pattern classification to
detect LSB matching steganography in grayscale images, which is a very challenging …
detect LSB matching steganography in grayscale images, which is a very challenging …
Digital video steganalysis exploiting statistical visibility in the temporal domain
U Budhia, D Kundur, T Zourntos - IEEE Transactions on …, 2006 - ieeexplore.ieee.org
In this paper, we present effective steganalysis techniques for digital video sequences
based on interframe collusion that exploits the temporal statistical visibility of a hidden …
based on interframe collusion that exploits the temporal statistical visibility of a hidden …
Image complexity and feature mining for steganalysis of least significant bit matching steganography
The information-hiding ratio is a well-known metric for evaluating steganalysis performance.
In this paper, we introduce a new metric of image complexity to enhance the evaluation of …
In this paper, we introduce a new metric of image complexity to enhance the evaluation of …
Multiclass detector of current steganographic methods for JPEG format
T Pevny, J Fridrich - IEEE Transactions on Information …, 2008 - ieeexplore.ieee.org
The aim of this paper is to construct a practical forensic steganalysis tool for JPEG images
that can properly analyze single-and double-compressed stego images and classify them to …
that can properly analyze single-and double-compressed stego images and classify them to …
Steganalysis of spread spectrum data hiding exploiting cover memory
K Sullivan, U Madhow… - Security …, 2005 - spiedigitallibrary.org
In this paper we study steganalysis, the detection of hidden data. Specifically we focus on
detecting data hidden in grayscale images with spread spectrum hiding. To accomplish this …
detecting data hidden in grayscale images with spread spectrum hiding. To accomplish this …
Detection of audio covert channels using statistical footprints of hidden messages
We address the problem of detecting the presence of hidden messages in audio. The
detector is based on the characteristics of the denoised residuals of the audio file, which …
detector is based on the characteristics of the denoised residuals of the audio file, which …
A survey of machine learning algorithms and their application in information security
M Stamp - Guide to vulnerability analysis for computer networks …, 2018 - Springer
A Survey of Machine Learning Algorithms and Their Application in Information Security |
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