The mushroomed Deepfake synthetic materials circulated on the internet have raised a
profound social impact on politicians, celebrities, and individuals worldwide. In this survey …

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 …

Recently the proliferation of highly realistic synthetic images facilitated through a variety of
GANs and Diffusions has significantly heightened the susceptibility to misuse. While the …

DeepFake detection aims to differentiate falsified faces from real ones. Most approaches
formulate it as a binary classification problem by solely mining the local artifacts and …

The growing threats of deepfakes to society and cybersecurity have raised enormous public
concerns, and increasing efforts have been devoted to this critical topic of deepfake video …

Deepfake has recently raised a plethora of societal concerns over its possible security
threats and dissemination of fake information. Much research on deepfake detection has …

As a face manipulation technique, the misuse of Deepfakes poses potential threats to the
state, society, and individuals. Several countermeasures have been proposed to reduce the …

The current social media is flooded with hyper realistic face-synthetic videos due to the
explosion of DeepFake technology that has brought a serious impact on human society …

Online media data, in the forms of images and videos, are becoming mainstream
communication channels. However, recent advances in deep learning, particularly deep …

Existing face forgery detection usually follows the paradigm of training models in a single
domain, which leads to limited generalization capacity when unseen scenarios and …