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 …

With the large chunks of social media data being created daily and the parallel rise of
realistic multimedia tampering methods, detecting and localising tampering in images and …

Recently, DeepFake videos have developed rapidly, causing new security issues in society.
Due to the rough spatiotemporal view, existing video-based detection methods struggle to …

Recently, realistic DeepFake videos have raised severe security concerns in society.
Existing video-based detection methods observe local spatial regions with the coarse …

The rapid development of DeepFake technologies has brought great challenges to the
authenticity of video contents. It is of vital importance to develop DeepFake detection …

With the growing popularity of social media and an outburst of malicious tampering methods,
it has become easier than ever to mislead others and create disharmony in society by …

With the recent rise of realistic face manipulation methods, building robust face tampering
detection methods has become more critical than ever before. Several research works have …

Recent advancements in face forgery techniques have continuously evolved, leading to
emergent security concerns in society. Existing detection methods have poor generalization …

User-generated content (UGC) is increasingly becoming prevalent on various digital
platforms. The content generated on social media, review forums, and question–answer …

In order to minimize additional computational costs in detecting forged videos, and enhance
detection accuracy, this paper employs dynamic facial expression sequences as key …