Image steganography: A review of the recent advances

N Subramanian, O Elharrouss, S Al-Maadeed… - IEEE …, 2021 - ieeexplore.ieee.org
Image Steganography is the process of hiding information which can be text, image or video
inside a cover image. The secret information is hidden in a way that it not visible to the …

Digital image steganography: A literature survey

PC Mandal, I Mukherjee, G Paul, BN Chatterji - Information sciences, 2022 - Elsevier
Steganography is the art of concealing information in a cover media in such a way that the
presence of the information is unknown. Digital image steganography accomplishes the …

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 …

Digital image steganography survey and investigation (goal, assessment, method, development, and dataset)

S Rustad, PN Andono, GF Shidik - Signal processing, 2023 - Elsevier
Digital steganography has a long history, starting to be developed in the 90s until now. The
main aspects of early steganography are security, imperceptibility, and payload. Security is …

VAE-Stega: linguistic steganography based on variational auto-encoder

ZL Yang, SY Zhang, YT Hu, ZW Hu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In recent years, linguistic steganography based on text auto-generation technology has
been greatly developed, which is considered to be a very promising but also a very …

Artificial fingerprinting for generative models: Rooting deepfake attribution in training data

N Yu, V Skripniuk, S Abdelnabi… - Proceedings of the …, 2021 - openaccess.thecvf.com
Photorealistic image generation has reached a new level of quality due to the breakthroughs
of generative adversarial networks (GANs). Yet, the dark side of such deepfakes, the …

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 …

Copyright protection in generative ai: A technical perspective

J Ren, H Xu, P He, Y Cui, S Zeng, J Zhang… - arxiv preprint arxiv …, 2024 - arxiv.org
Generative AI has witnessed rapid advancement in recent years, expanding their
capabilities to create synthesized content such as text, images, audio, and code. The high …

Adversarial watermarking transformer: Towards tracing text provenance with data hiding

S Abdelnabi, M Fritz - 2021 IEEE Symposium on Security and …, 2021 - ieeexplore.ieee.org
Recent advances in natural language generation have introduced powerful language
models with high-quality output text. However, this raises concerns about the potential …

Application of integrated steganography and image compressing techniques for confidential information transmission

BK Pandey, D Pandey, S Wairya… - Cyber security and …, 2022 - Wiley Online Library
In the present day, images and videos account for nearly 80% of all the data transmitted
during our daily activities. This work employs a combination of novel stegnography and data …