Video steganography: recent advances and challenges

J Kunhoth, N Subramanian, S Al-Maadeed… - Multimedia Tools and …, 2023 - Springer
Video steganography approach enables hiding chunks of secret information inside video
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

H Kheddar, M Hemis, Y Himeur, D Megías, A Amira - Neurocomputing, 2024 - Elsevier
Steganography and steganalysis are two interrelated aspects of the field of information
security. Steganography seeks to conceal communications, whereas steganalysis aims to …

Hinet: Deep image hiding by invertible network

J **g, X Deng, M Xu, J Wang… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
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 …

DeepMIH: Deep invertible network for multiple image hiding

Z Guan, J **g, X Deng, M Xu, L Jiang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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 …

Rosteals: Robust steganography using autoencoder latent space

T Bui, S Agarwal, N Yu… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Data hiding such as steganography and invisible watermarking has important applications
in copyright protection, privacy-preserved communication and content provenance. Existing …

Steganerf: Embedding invisible information within neural radiance fields

C Li, BY Feng, Z Fan, P Pan… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
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) …

Large-capacity and flexible video steganography via invertible neural network

C Mou, Y Xu, J Song, C Zhao… - Proceedings of the …, 2023 - openaccess.thecvf.com
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 …

Copyrnerf: Protecting the copyright of neural radiance fields

Z Luo, Q Guo, KC Cheung, S See… - Proceedings of the …, 2023 - openaccess.thecvf.com
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 …

Diffusionshield: A watermark for copyright protection against generative diffusion models

Y Cui, J Ren, H Xu, P He, H Liu, L Sun, Y **ng… - arxiv preprint arxiv …, 2023 - arxiv.org
Recently, Generative Diffusion Models (GDMs) have showcased their remarkable
capabilities in learning and generating images. A large community of GDMs has naturally …

Distortion agnostic deep watermarking

X Luo, R Zhan, H Chang, F Yang… - Proceedings of the …, 2020 - openaccess.thecvf.com
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 …