Robust invertible image steganography
Image steganography aims to hide secret images into a container image, where the secret is
hidden from human vision and can be restored when necessary. Previous image …
hidden from human vision and can be restored when necessary. Previous image …
Large-capacity image steganography based on invertible neural networks
SP Lu, R Wang, T Zhong… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
Many attempts have been made to hide information in images, where the main challenge is
how to increase the payload capacity without the container image being detected as …
how to increase the payload capacity without the container image being detected as …
Cross: Diffusion model makes controllable, robust and secure image steganography
Current image steganography techniques are mainly focused on cover-based methods,
which commonly have the risk of leaking secret images and poor robustness against …
which commonly have the risk of leaking secret images and poor robustness against …
Image disentanglement autoencoder for steganography without embedding
Conventional steganography approaches embed a secret message into a carrier for
concealed communication but are prone to attack by recent advanced steganalysis tools. In …
concealed communication but are prone to attack by recent advanced steganalysis tools. In …
A novel convolutional neural network for image steganalysis with shared normalization
Image steganalysis is to discriminate innocent images (cover images) and those suspected
images (stego images) with hidden messages. The task is challenging since modifications to …
images (stego images) with hidden messages. The task is challenging since modifications to …
SteganoGAN: High capacity image steganography with GANs
KA Zhang, A Cuesta-Infante, L Xu… - arXiv preprint arXiv …, 2019 - arxiv.org
Image steganography is a procedure for hiding messages inside pictures. While other
techniques such as cryptography aim to prevent adversaries from reading the secret …
techniques such as cryptography aim to prevent adversaries from reading the secret …
End-to-end trained CNN encoder-decoder networks for image steganography
All the existing image steganography methods use manually crafted features to hide binary
payloads into cover images. This leads to small payload capacity and image distortion. Here …
payloads into cover images. This leads to small payload capacity and image distortion. Here …
An automatic cost learning framework for image steganography using deep reinforcement learning
Automatic cost learning for steganography based on deep neural networks is receiving
increasing attention. Steganographic methods under such a framework have been shown to …
increasing attention. Steganographic methods under such a framework have been shown to …
A new adversarial embedding method for enhancing image steganography
Image steganography aims to embed secret messages into cover images in an
imperceptible manner. While steganalysis tries to identify stegos from covers, which is a …
imperceptible manner. While steganalysis tries to identify stegos from covers, which is a …
A novel image steganography method via deep convolutional generative adversarial networks
The security of image steganography is an important basis for evaluating steganography
algorithms. Steganography has recently made great progress in the long-term confrontation …
algorithms. Steganography has recently made great progress in the long-term confrontation …