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A Siamese CNN for Image Steganalysis
IEEE Transactions on Information Forensics and Security, 2021Image steganalysis is a technique for detecting data hidden in images. Recent research has shown the powerful capabilities of using convolutional neural networks (CNN) for image steganalysis.
Weike You, Hong Zhang, Xianfeng Zhao
exaly +3 more sources
Image steganography and steganalysis
AbstractImage steganography is used to embed covert messages in the form of files, text, or other images in digital images. The intent is to transmit hidden information. Steganalysis is the process used to detect hidden messages in images. Although steganography is not a new discipline, it has become increasingly important in today's digital world ...
Mayra Bachrach, Frank Y. Shih
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Image Steganalysis with Convolutional Vision Transformer
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022Recent research has shown that deep learning based methods offer more accurate detection for image steganalysis than the traditional detection paradigm based on rich media models. Existing network architectures based on deep learning, however, stack more
Ge Luo +5 more
semanticscholar +2 more sources
IMAGE STEGANOGRAPHY AND STEGANALYSIS: CONCEPTS AND PRACTICE
In the last few years, we have seen many new and powerful steganography and steganalysis techniques reported in the literature. In the following paper we go over some general concepts and ideas that apply to steganography and steganalysis. Specifically we establish a framework and define notion of security for a steganographic system.
Rajarathnam Chandramouli +2 more
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Image steganalysis using deep learning: a systematic review and open research challenges
Journal of Ambient Intelligence and Humanized Computing, 2023Arvind Selwal, Selwal Arvind
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Critical review of image steganalysis techniques
International Journal of Advanced Intelligence Paradigms, 2015Steganography is the art of covert communication aims at hiding information onto a digital cover media. The choice of the cover medium could be audio, image or video files. Owing to the illegal use of such secret communications, steganalysis the art of code breaking steganography has gained momentum.
Anita Christaline Johnvictor +2 more
exaly +2 more sources
Image Steganalysis Against Adversarial Steganography by Combining Confidence and Pixel Artifacts
IEEE Signal Processing Letters, 2023Convolutional Neural Networks (CNNs) have made remarkable progress in steganalysis. However, they struggle to detect adversarial steganography accurately which merges adversarial samples and steganography.
Mingzhi Hu, Hongxia Wang
semanticscholar +1 more source
Image Steganalysis Network Based on Dual-Attention Mechanism
IEEE Signal Processing Letters, 2023Most of the existing image steganography methods are content adaptive steganography, which prefer to modify the pixel values of texture information-rich regions, making them more difficult to be detected.
Xuanbo Zhang, Xinpeng Zhang, Guorui Feng
semanticscholar +1 more source
A Siamese Inverted Residuals Network Image Steganalysis Scheme based on Deep Learning
ACM Trans. Multim. Comput. Commun. Appl., 2023With the rapid proliferation of urbanization, massive data in social networks are collected and aggregated in real time, making it possible for criminals to use images as a cover to spread secret information on the Internet.
Haobin Li +5 more
semanticscholar +1 more source

