Deepfake data contains realistically manipulated faces—its abuses pose a huge threat to
the security and privacy-critical applications. Intensive research from academia and industry …

Deepfakes have rapidly emerged as a profound and serious threat to society, primarily due
to their ease of creation and dissemination. This situation has triggered an accelerated …

Deepfakes pose growing challenges to the trust of information on the Internet. Thus,
detecting deepfakes has attracted increasing attentions from both academia and industry …

This paper present a comprehensive comparative analysis of supervised and self-
supervised models for deepfake detection. We evaluate eight supervised deep learning …

Recent rapid advancements in deepfake technology have allowed the creation of highly
realistic fake media, such as video, image, and audio. These materials pose significant …

In recent years, image and video manipulations with Deepfake have become a severe
concern for security and society. Many detection models and datasets have been proposed …

Hyper-realistic face image generation and manipulation have givenrise to numerous
unethical social issues, eg, invasion of privacy, threat of security, and malicious political …

A critical yet frequently overlooked challenge in the field of deepfake detection is the lack of
a standardized, unified, comprehensive benchmark. This issue leads to unfair performance …

In recent years, the advent of deep learning-based techniques and the significant reduction
in the cost of computation resulted in the feasibility of creating realistic videos of human …

In recent years, image and video manipulations with Deepfake have become a severe
concern for security and society. Many detection models and datasets have been proposed …