Convolutional steganalysis network
Definition
A deep neural network trained end-to-end to classify cover versus stego images. Architectures such as XuNet, SRNet, and Yedroudj-Net use learned high-pass filter preprocessing layers followed by convolutional feature extraction, avoiding manual feature engineering.
Related terms
- Adaptive embedding
- A steganographic strategy that concentrates embedding changes in high-texture or high-noise image regions where they are perceptually and statistically harder to detect....
- Calibration
- A steganalysis technique that estimates the cover image statistics by cropping or decompressing and re-compressing the test image to produce a reference....
- Chi-square attack
- A specific steganalysis test for LSB substitution in images. It tests whether pairs of pixel values that are related by flipping the...
- LSB substitution
- Least-significant-bit substitution: the lowest-order bit of each sample value (pixel colour channel or audio sample) is overwritten with one bit of the...
- Rich model (SRM)
- A high-dimensional feature set for steganalysis constructed from joint statistics of pixel prediction residuals computed with many different filter kernels and quantisation...
Explained in
- Steganalysis: Statistical and Machine Learning Detection MethodsA deep neural network trained end-to-end to classify cover versus stego images. Architectures such as XuNet, SRNet, and Yedroudj-Net use learned high-pass filt...