Face forgery generating algorithms that produce a range of manipulated videos/images
have developed quickly. Consequently, this causes an increase in the production of fake …

Face forgery detection has become a new research hotspot. Though existing detection
works have achieved impressive performance, they are difficult to achieve a proper trade-off …

The serious concerns over the negative impacts of Deepfakes have attracted wide attentions
in the community of multimedia forensics. The existing detection works achieve deepfake …

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 …

In this paper, we propose a novel image forgery detection paradigm for boosting the model
learning capacity on both forgery-sensitive and genuine compact visual patterns. Compared …

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

Nowadays, forgery faces pose pressing security concerns over fake news, fraud,
impersonation, etc. Despite the demonstrated success in intra-domain face forgery …

Face recognition systems are widely used in real-world scenarios but are susceptible to
physical and digital attacks. Effective methods for unified detection of both physical face …

Face forgery techniques have advanced rapidly and pose serious security threats. Existing
face forgery detection methods try to learn generalizable features, but they still fall short of …

With the continuous development of generative models on face generation, how to
distinguish the real and fake face has become an important problem for security. Because of …