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FedSteg: A Federated Transfer Learning Framework for Secure Image Steganalysis
IEEE Transactions on Network Science and Engineering, 2020The protection of user private data has long been the focus of AI security. We know that training machine learning models rely on large amounts of user data. However, user data often exists in the form of isolated islands that can not be integrated under
Hongwei Yang +3 more
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Image steganalysis with binary similarity measures
Proceedings. International Conference on Image Processing, 2003We present a novel technique for steganalysis of images that have been subjected to least significant bit (LSB) type steganographic algorithms. The seventh and eighth bit planes in an image are used for the computation of several binary similarity measures.
Sankur, B, Memon, N, Avcibas, I
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Towards Deep Learning-Based Image Steganalysis: Practices and Open Research Issues
Social Science Research Network, 2021Steganalysis is the technique of identifying secret messages concealed in cover objects using newly developed content-adaptive steganographic algorithms.
Bisma Bashir, A. Selwal
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Feature Aggregation Networks for Image Steganalysis
Proceedings of the 2020 ACM Workshop on Information Hiding and Multimedia Security, 2020Since convolutional neural networks have shown remarkable performance on various computer vision tasks, many network architectures for image steganalysis have been introduced. Many of them use fixed preprocessing filters for stable learning, which have a disadvantage of limited use of the information of the input image.
Haneol Jang, Tae-Woo Oh, Kibom Kim
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Intrinsic fingerprints for image authentication and steganalysis
SPIE Proceedings, 2007With growing popularity of digital imaging devices and low-cost image editing software, the integrity of image content can no longer be taken for granted. This paper introduces a methodology for forensic analysis of digital camera images, based on the observation that many in-camera and post-camera processing operations leave distinct traces on ...
Ashwin Swaminathan +2 more
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Local correlation pattern for image steganalysis
2015 IEEE China Summit and International Conference on Signal and Information Processing (ChinaSIP), 2015Correlation of pixels is the most important information used for image steganalysis. Current methods often consider some special types of relationships among neighboring pixels. In this paper, we propose a general descriptor to consider the correlation of pixels comprehensively.
Xikai Xu +3 more
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A perturbative resampling approach to image steganalysis
2009 International Conference on Ultra Modern Telecommunications & Workshops, 2009We study the effect of perturbative operations on images from a steganalytic point of view. It is observed that the rates at which unique colors vary in response to image processing operations performed in a perturbative sense - by adding mild disturbances to the image - provides a mechanism to calibrate the size of the hidden content due to LSB ...
V. Suresh +2 more
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Fast and Effective Global Covariance Pooling Network for Image Steganalysis
Information Hiding and Multimedia Security Workshop, 2019Recently, deep learning based methods have achieved superior performance compared to conventional methods based on hand-crafted features in image steganalysis. However, most modern methods are usually quite time consuming.
Xiaoqing Deng +3 more
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Journal of Visual Communication and Image Representation, 2023
Lifang Yu +4 more
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Lifang Yu +4 more
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Modified Bird Swarm Algorithm for blind image steganalysis
International journal of information technology, 2023R. Chhikara +3 more
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