DeepFakes detection approaches have to be agnostic across generation type, quality, and
appearance to provide a generalizable DeepFakes detector. Limited generalizability will …

This article introduces an effective face PAD algorithm based on multiscale perceptual
image quality assessment features. Unique hand-crafted texture features extracted from face …

Deepfake technology presents serious cybersecurity challenges that have become more
prevalent with the availability of easily accessible applications. An effective method for …

摘要随着生成式深度学习算法的发展, 深度伪造技术发展并应用于各个领域.
深度伪造技术的滥用使人们逐渐意识到其带来的威胁, 伪造检测技术随之而生 …

Deepfake detection is of fundamental importance to preserve the reliability of multimedia
communications. Modern deepfake detection systems are often specialized on one or more …

This chapter describes a DeepFake detection framework based on physiological
measurement. In particular, we consider information related to the heart rate using remote …

With the surge in the videos over the internet and the spread of digital communications, the
attackers are greatly benefited by creating and publishing the fake distorted videos and …

Social engineering (SE) is a form of deception that aims to trick people into giving access to
data, information, networks and even money. For decades SE has been a key method for …

Developments in the deep learning domain have led to its usage in solving problems
ranging from robotics to computer vision and healthcare. However, due to easy access to …

As humanity cruises ahead in its artificial intelligence race to reach new horizons in the field,
especially in the image processing arena, there have also emerged some “flies” in the …