Image steganography approaches and their detection strategies: A survey

MH Kombrink, ZJMH Geradts, M Worring - ACM Computing Surveys, 2024 - dl.acm.org
Steganography is the art and science of hidden (or covered) communication. In digital
steganography, the bits of image, video, audio and text files are tweaked to represent the …

Lawa: Using latent space for in-generation image watermarking

A Rezaei, M Akbari, SR Alvar, A Fatemi… - European Conference on …, 2024 - Springer
With generative models producing high quality images that are indistinguishable from real
ones, there is growing concern regarding the malicious usage of AI-generated images …

Advancements and challenges in coverless image steganography: A survey

X **ang, Y Tan, J Qin, Y Tan - Signal Processing, 2024 - Elsevier
Coverless image steganography has emerged as a significant research direction in the field
of steganography in recent years. Unlike traditional image steganography, it does not …

Wavmark: Watermarking for audio generation

G Chen, Y Wu, S Liu, T Liu, X Du, F Wei - arxiv preprint arxiv:2308.12770, 2023 - arxiv.org
Recent breakthroughs in zero-shot voice synthesis have enabled imitating a speaker's voice
using just a few seconds of recording while maintaining a high level of realism. Alongside its …

Flexible and secure watermarking for latent diffusion model

C **ong, C Qin, G Feng, X Zhang - Proceedings of the 31st ACM …, 2023 - dl.acm.org
Since the significant advancements and open-source support of latent diffusion models
(LDMs) in the field of image generation, numerous researchers and enterprises start fine …

Latent watermark: Inject and detect watermarks in latent diffusion space

Z Meng, B Peng, J Dong - IEEE Transactions on Multimedia, 2025 - ieeexplore.ieee.org
Watermarking is a tool for actively identifying and attributing the images generated by latent
diffusion models. Existing methods face the dilemma of image quality and watermark …

ProMark: Proactive Diffusion Watermarking for Causal Attribution

V Asnani, J Collomosse, T Bui, X Liu… - Proceedings of the …, 2024 - openaccess.thecvf.com
Generative AI (GenAI) is transforming creative workflows through the capability to synthesize
and manipulate images via high-level prompts. Yet creatives are not well supported to …

When deep learning meets watermarking: A survey of application, attacks and defenses

H Chen, C Liu, T Zhu, W Zhou - Computer Standards & Interfaces, 2024 - Elsevier
Deep learning has been used to address various problems in a range of domains within
both academia and industry. However, the issue of intellectual property with deep learning …

Self-improving diffusion models with synthetic data

S Alemohammad, AI Humayun, S Agarwal… - arxiv preprint arxiv …, 2024 - arxiv.org
The artificial intelligence (AI) world is running out of real data for training increasingly large
generative models, resulting in accelerating pressure to train on synthetic data …

Learning-based image steganography and watermarking: A survey

K Hu, M Wang, X Ma, J Chen, X Wang… - Expert Systems with …, 2024 - Elsevier
Extensive research has been conducted on image steganography and watermarking
algorithms, owing to their crucial rules in secret data transmission, copyright protection, and …