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A data augmentation framework by mining structured features for fake face image detection

COMPUTER VISION AND IMAGE UNDERSTANDING (2023)

Fake face detection via adaptive manipulation traces extraction network

Zhiqing Guo et al.

Summary: The proliferation of FIM techniques poses challenges to public confidence as fake face images spread over the internet. While face image forgery detection has progressed, there is a need for a robust detector. The proposed AMTEN effectively suppresses image content and enhances manipulation traces, achieving desirable pre-processing results and outperforming state-of-the-art works in detecting fake face images.

COMPUTER VISION AND IMAGE UNDERSTANDING (2021)

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Article Computer Science, Information Systems

Locally GAN-generated face detection based on an improved Xception

Beijing Chen et al.

Summary: This study proposes an improved Xception model for locally GAN-generated face detection and constructs the first locally GAN-based generated face dataset. Experimental results show that the proposed model outperforms some existing models, especially for faces with small generated regions.

INFORMATION SCIENCES (2021)

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Article Computer Science, Information Systems

Blind detection of glow-based facial forgery

Zhiqing Guo et al.

Summary: With the advancement of artificial intelligence technologies, fake face image synthesis has become increasingly realistic, but it poses challenges to morality, ethics, and public confidence. SCnet, utilizing image sharpening operator in convolutional layer to expose Glow-based facial forgery, shows promising results in effectively detecting fake face images.

MULTIMEDIA TOOLS AND APPLICATIONS (2021)

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Article Engineering, Electrical & Electronic