Recent advancements in deep learning generative models have raised concerns as they
can create highly convincing counterfeit images and videos. This poses a threat to people's …

Diffusion models (DMs) have recently emerged as a promising method in image synthesis.
However, to date, only little attention has been paid to the detection of DM-generated …

In recent years, face forgery detectors have aroused great interest and achieved impressive
performance, but they are still struggling with generalization and robustness. In this work, we …

DeepFakes which refer to AI-generated media content have become an increasing concern
due to their use as a means for disinformation. Detecting DeepFakes is currently solved with …

The rapid advancement of Large AI Models (LAIMs), particularly diffusion models and large
language models, has marked a new era where AI-generated multimedia is increasingly …

Recent advancements in diffusion models have enabled the generation of realistic
deepfakes by writing textual prompts in natural language. While these models have …

Image is a powerful way to share information in the digital world. The sources of images are
everywhere, magazines, newspapers, healthcare, entertainment, education, social media …

Deepfakes are generated using sophisticated deep-learning models to create fake images
or videos. As the techniques for creating deepfakes improve, issues like defamation …

Deep face forgery and detection is an emerging topic due to the development of GANs. Face
forgery detection relies greatly on existing databases for evaluation and adequate training …

With the development of computer vision and deep learning technologies, rapidly expanding
approaches have been introduced that allow anyone to create videos and pictures that are …