The advent of artificial intelligence-generated content (AIGC) represents a pivotal moment in
the evolution of information technology. With AIGC, it can be effortless to generate high …

Recently, Artificial Intelligence Generated Content (AIGC) has gained significant attention
from society, especially with the rise of Generative AI (GAI) techniques such as ChatGPT …

In the era of AI-generated content (AIGC) malicious tampering poses imminent threats to
copyright integrity and information security. Current deep image watermarking while widely …

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 …

The ethical need to protect AI-generated content has been a significant concern in recent
years. While existing watermarking strategies have demonstrated success in detecting …

Recent text-to-image diffusion models have shown surprising performance in generating
high-quality images. However, concerns have arisen regarding the unauthorized data usage …

Untrustworthy users can misuse image generators to synthesize high-quality deepfakes and
engage in online spam or disinformation campaigns. Watermarking deters misuse by …

Ethical concerns surrounding copyright protection and inappropriate content generation
pose challenges for the practical implementation of diffusion models. One effective solution …

Recently, stable diffusion (SD) models have typically flourished in the field of image
synthesis and personalized editing, with a range of photorealistic and unprecedented …

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 …