Deep Learning (DL) has been effectively utilized in various complicated challenges in
healthcare, industry, and academia for various purposes, including thyroid diagnosis, lung …

Deepfake videos are a growing social issue. These videos are manipulated by artificial
intelligence (AI) techniques (especially deep learning), an emerging societal issue …

While the significant advancements have made in the generation of deepfakes using deep
learning technologies, its misuse is a well-known issue now. Deepfakes can cause severe …

Techniques for creating and manipulating multimedia information have progressed to the
point where they can now ensure a high degree of realism. DeepFake is a generative deep …

With the rapid development of face forgery techniques, the existing frame-based deepfake
video detection methods have fell into a dilemma that frame-based methods may fail when …

As GAN-based video and image manipulation technologies become more sophisticated and
easily accessible, there is an urgent need for effective deepfake detection technologies …

Malicious applications of deepfakes (ie, technologies generating target facial attributes or
entire faces from facial images) have posed a huge threat to individuals' reputation and …

In the last few years, with the advancement of deep learning methods, especially Generative
Adversarial Networks (GANs) and Variational Auto-encoders (VAEs), fabricated content has …

The misuse of Deepfakes to create unauthorized fake facial images and videos poses a
growing threat to personal privacy and social stability. Proactive defense algorithms have …

This study conducts research on deepfakes technology evolution and trends based on a
bibliometric analysis of the articles published on this topic along with six research questions …