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Learning-based image steganography and watermarking: A survey
Extensive research has been conducted on image steganography and watermarking
algorithms, owing to their crucial rules in secret data transmission, copyright protection, and …
algorithms, owing to their crucial rules in secret data transmission, copyright protection, and …
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 …
Neural networks-based data hiding in digital images: overview
Nowadays, neural networks are actively used for data hiding; however, there is currently no
systematic knowledge regarding their utilization in this field. This is a significant gap …
systematic knowledge regarding their utilization in this field. This is a significant gap …
Stegastamp: Invisible hyperlinks in physical photographs
Printed and digitally displayed photos have the ability to hide imperceptible digital data that
can be accessed through internet-connected imaging systems. Another way to think about …
can be accessed through internet-connected imaging systems. Another way to think about …
Udh: Universal deep hiding for steganography, watermarking, and light field messaging
Neural networks have been shown effective in deep steganography for hiding a full image in
another. However, the reason for its success remains not fully clear. Under the existing cover …
another. However, the reason for its success remains not fully clear. Under the existing cover …
PIMoG: An effective screen-shooting noise-layer simulation for deep-learning-based watermarking network
With the omnipresence of camera phone and digital display, capturing digitally displayed
image with camera phone are getting widely practiced. In the context of watermarking, this …
image with camera phone are getting widely practiced. In the context of watermarking, this …
Copyrnerf: Protecting the copyright of neural radiance fields
Abstract Neural Radiance Fields (NeRF) have the potential to be a major representation of
media. Since training a NeRF has never been an easy task, the protection of its model …
media. Since training a NeRF has never been an easy task, the protection of its model …
Distortion agnostic deep watermarking
Watermarking is the process of embedding information into an image that can survive under
distortions, while requiring the encoded image to have little or no perceptual difference with …
distortions, while requiring the encoded image to have little or no perceptual difference with …
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 …
Towards blind watermarking: Combining invertible and non-invertible mechanisms
Blind watermarking provides powerful evidence for copyright protection, image
authentication, and tampering identification. However, it remains a challenge to design a …
authentication, and tampering identification. However, it remains a challenge to design a …