5 papers
JPEG Steganography with Embedding Cost Learning and Side-Information Estimation
Jianhua Yang, Yi Liao, Fei Shang +2
A great challenge to steganography has arisen with the wide application of steganalysis methods based on convolutional neural networks (CNNs). To this end, embedding cost learning…
Image Steganography using Gaussian Markov Random Field Model
Wenkang Su, Jiangqun Ni, Yuanfeng Pan +2
Recent advances on adaptive steganography show that the performance of image steganographic communication can be improved by incorporating the non-additive models that capture the…
Distinguishing Computer-generated Graphics from Natural Images Based on Sensor Pattern Noise and Deep Learning
Ye Yao, Weitong Hu, Wei Zhang +2
Computer-generated graphics (CGs) are images generated by computer software. The~rapid development of computer graphics technologies has made it easier to generate photorealistic c…
Spatial Image Steganography Based on Generative Adversarial Network
Jianhua Yang, Kai Liu, Xiangui Kang +2
With the recent development of deep learning on steganalysis, embedding secret information into digital images faces great challenges. In this paper, a secure steganography algorit…
Can Machine Learn Steganography? - Implementing LSB Substitution and Matrix Coding Steganography with Feed-Forward Neural Networks
Han-Zhou Wu, Hong-Xia Wang, Yun-Qing Shi
In recent years, due to the powerful abilities to deal with highly complex tasks, the artificial neural networks (ANNs) have been studied in the hope of achieving human-like perfor…