Over the last few decades, rapid progress in AI, machine learning, and deep learning has
resulted in new techniques and various tools for manipulating multimedia. Though the …

With the rapid progress in recent years, techniques that generate and manipulate
multimedia content can now provide a very advanced level of realism. The boundary …

The capabilities of a new class of tools, colloquially known as generative artificial
intelligence (AI), is a topic of much debate. One prominent application thus far is the …

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 …

Deep learning has been successfully applied to solve various complex problems ranging
from big data analytics to computer vision and human-level control. Deep learning advances …

The emergence of tools based on Large Language Models (LLMs), such as OpenAI's
ChatGPT, Microsoft's Bing Chat, and Google's Bard, has garnered immense public attention …

Generative deep learning algorithms have progressed to a point where it is difficult to tell the
difference between what is real and what is fake. In 2018, it was discovered how easy it is to …

In recent years, as various realistic face forgery techniques known as DeepFake improves
by leaps and bounds, more and more DeepFake detection techniques have been proposed …

Recently, deepfake videos, generated by deep learning algorithms, have attracted
widespread attention. Deepfake technology can be used to perform face manipulation with …

It is now possible to synthesize highly realistic images of people who do not exist. Such
content has, for example, been implicated in the creation of fraudulent social-media profiles …