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 …

Generative AI (eg, Generative Adversarial Networks–GANs) has become increasingly
popular in recent years. However, Generative AI introduces significant concerns regarding …

This paper presents a comprehensive examination of deepfakes, exploring their creation,
production and identification. Deepfakes are videos, images or audio that are remarkably …

The challenge in sourcing attribution for forgery faces has gained widespread attention due
to the rapid development of generative techniques. While many recent works have taken …

Despite the remarkable progress in generative technology, the Janus-faced issues of
intellectual property protection and malicious content supervision have arisen. Efforts have …

Deepfakes refer to content synthesized using deep generators, which, when misused, have
the potential to erode trust in digital media. Synthesizing high-quality deepfakes requires …

Synthetic Image Verification in the Era of Generative Artificial Intelligence: What Works and
What Isn’t There yet Page 1 1540-7993/24©2024IEEE Copublished by the IEEE …

Artificial Intelligence Generated Content (AIGC) is one of the latest achievements in AI
development. The content generated by related applications, such as text, images and …

In recent few years, DeepFakes are posing serve threats and concerns to both individuals
and celebrities, as realistic DeepFakes facilitate the spread of disinformation. Model …

Abstract In recent decades, Generative Adversarial Network (GAN) and its variants have
achieved unprecedented success in image synthesis. However, well-trained GANs are …