75 citations · 75 across the 1 of their papers we have counts for
3 papers
cs.CR2019
Detection of Classifier Inconsistencies in Image Steganalysis
Daniel Lerch-Hostalot, David Megías
In this paper, a methodology to detect inconsistencies in classification-based image steganalysis is presented. The proposed approach uses two classifiers: the usual one, trained w…
cs.MM2017
LSB Matching Steganalysis Based on Patterns of Pixel Differences and Random Embedding
Daniel Lerch-Hostalot, David Megías
This paper presents a novel method for detection of LSB matching steganogra- phy in grayscale images. This method is based on the analysis of the differences between neighboring pi…
cs.MM2017★ 75 cited
Unsupervised Steganalysis Based on Artificial Training Sets
Daniel Lerch-Hostalot, David Megías
In this paper, an unsupervised steganalysis method that combines artificial training setsand supervised classification is proposed. We provide a formal framework for unsupervisedcl…