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Video steganography: recent advances and challenges
Video steganography approach enables hiding chunks of secret information inside video
sequences. The features of video sequences including high capacity as well as complex …
sequences. The features of video sequences including high capacity as well as complex …
Deep learning for steganalysis of diverse data types: A review of methods, taxonomy, challenges and future directions
Steganography and steganalysis are two interrelated aspects of the field of information
security. Steganography seeks to conceal communications, whereas steganalysis aims to …
security. Steganography seeks to conceal communications, whereas steganalysis aims to …
Hinet: Deep image hiding by invertible network
Image hiding aims to hide a secret image into a cover image in an imperceptible way, and
then recover the secret image perfectly at the receiver end. Capacity, invisibility and security …
then recover the secret image perfectly at the receiver end. Capacity, invisibility and security …
DeepMIH: Deep invertible network for multiple image hiding
Multiple image hiding aims to hide multiple secret images into a single cover image, and
then recover all secret images perfectly. Such high-capacity hiding may easily lead to …
then recover all secret images perfectly. Such high-capacity hiding may easily lead to …
Rosteals: Robust steganography using autoencoder latent space
Data hiding such as steganography and invisible watermarking has important applications
in copyright protection, privacy-preserved communication and content provenance. Existing …
in copyright protection, privacy-preserved communication and content provenance. Existing …
Steganerf: Embedding invisible information within neural radiance fields
Recent advancements in neural rendering have paved the way for a future marked by the
widespread distribution of visual data through the sharing of Neural Radiance Field (NeRF) …
widespread distribution of visual data through the sharing of Neural Radiance Field (NeRF) …
Large-capacity and flexible video steganography via invertible neural network
Video steganography is the art of unobtrusively concealing secret data in a cover video and
then recovering the secret data through a decoding protocol at the receiver end. Although …
then recovering the secret data through a decoding protocol at the receiver end. Although …
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 …
Diffusionshield: A watermark for copyright protection against generative diffusion models
Recently, Generative Diffusion Models (GDMs) have showcased their remarkable
capabilities in learning and generating images. A large community of GDMs has naturally …
capabilities in learning and generating images. A large community of GDMs has naturally …
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 …