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Deep Learning for Steganalysis of Diverse Data Types: A review of methods, taxonomy, challenges and future directions
The paper provides a systematic review of recent research in the field, including data sets and evaluation metrics used in recent studies.
Detection of Classifier Inconsistencies in Image Steganalysis
In this paper, a methodology to detect inconsistencies in classification-based image steganalysis is presented.
Unsupervised Steganalysis Based on Artificial Training Sets
In this paper, an unsupervised steganalysis method that combines artificial training setsand supervised classification is proposed.
LSB Matching Steganalysis Based on Patterns of Pixel Differences and Random Embedding
This paper presents a novel method for detection of LSB matching steganogra- phy in grayscale images.
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