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 …

Robust invertible image steganography

Y Xu, C Mou, Y Hu, J Xie… - Proceedings of the IEEE …, 2022 - openaccess.thecvf.com
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 …

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 …

End-to-end trained CNN encoder-decoder networks for image steganography

R Rahim, S Nadeem - Proceedings of the European …, 2018 - openaccess.thecvf.com
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 …

Channel attention image steganography with generative adversarial networks

J Tan, X Liao, J Liu, Y Cao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Recently, extensive research has revealed the enormous potential of deep learning in the
application of image steganography. However, some defects still exist in previous studies on …

Stegnet: Mega image steganography capacity with deep convolutional network

P Wu, Y Yang, X Li - Future Internet, 2018 - mdpi.com
Traditional image steganography often leans interests towards safely embedding hidden
information into cover images with payload capacity almost neglected. This paper combines …

Image disentanglement autoencoder for steganography without embedding

X Liu, Z Ma, J Ma, J Zhang… - Proceedings of the …, 2022 - openaccess.thecvf.com
Conventional steganography approaches embed a secret message into a carrier for
concealed communication but are prone to attack by recent advanced steganalysis tools. In …

Invisible steganography via generative adversarial networks

R Zhang, S Dong, J Liu - Multimedia tools and applications, 2019 - Springer
Nowadays, there are plenty of works introducing convolutional neural networks (CNNs) to
the steganalysis and exceeding conventional steganalysis algorithms. These works have …

Hiding images in plain sight: Deep steganography

S Baluja - Advances in neural information processing …, 2017 - proceedings.neurips.cc
Steganography is the practice of concealing a secret message within another, ordinary,
message. Commonly, steganography is used to unobtrusively hide a small message within …

Coverless image steganography based on generative adversarial network

J Qin, J Wang, Y Tan, H Huang, X Xiang, Z He - Mathematics, 2020 - mdpi.com
Traditional image steganography needs to modify or be embedded into the cover image for
transmitting secret messages. However, the distortion of the cover image can be easily …