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Steganalysis

Detect the usage of Steganography

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Showing 76–96 of 96 papers

TitleStatusHype
Deep Learning for Steganalysis of Diverse Data Types: A review of methods, taxonomy, challenges and future directions—0
Deep learning hierarchical representations for image steganalysis—0
Deep learning is a good steganalysis tool when embedding key is reused for different images, even if there is a cover source-mismatch—0
Deep Steganalysis: End-to-End Learning with Supervisory Information beyond Class Labels—0
Deniable Steganography—0
Depth-wise separable convolutions and multi-level pooling for an efficient spatial CNN-based steganalysis—0
Detecting Adversarial Examples by Additional Evidence from Noise Domain—0
Detection based Defense against Adversarial Examples from the Steganalysis Point of View—0
DNA Steganalysis Using Deep Recurrent Neural Networks—0
Double-Flow-based Steganography without Embedding for Image-to-Image Hiding—0
Exploiting Language Model for Efficient Linguistic Steganalysis—0
Fast and Effective Global Covariance Pooling Network for Image Steganalysis—0
FIIH: Fully Invertible Image Hiding for Secure and Robust—0
Forensic Video Steganalysis in Spatial Domain by Noise Residual Convolutional Neural Network—0
Generalized Local Optimality for Video Steganalysis in Motion Vector Domain—0
Generative Steganography Network—0
Graph Representation Learning for Spatial Image Steganalysis—0
Green Steganalyzer: A Green Learning Approach to Image Steganalysis—0
Hiding Data in Colors: Secure and Lossless Deep Image Steganography via Conditional Invertible Neural Networks—0
How to augment a small learning set for improving the performances of a CNN-based steganalyzer?—0
Image forgery detection based on the fusion of machine learning and block-matching methods—0
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