Abstract Generative Adversarial Networks (GAN) have led to the generation of very realistic
face images, which have been used in fake social media accounts and other disinformation …

The mushroomed Deepfake synthetic materials circulated on the internet have raised a
profound social impact on politicians, celebrities, and individuals worldwide. In this survey …

Generative adversarial network (GAN) generated high-realistic human faces are visually
challenging to discern from real ones. They have been used as profile images for fake social …

Deepfake technology uses auto-encoders and generative adversarial networks to replace or
artificially construct fine-tuned faces, emotions, and sounds. Although there have been …

Recently, productization of face recognition and identification algorithms have become the
most controversial topic about ethical AI. As new policies around digital identities are …

Artificial Intelligence (AI) techniques have advanced to generate face images of nonexistent
yet photorealistic persons. Despite positive applications, AI-synthesized faces have been …

The ever higher quality and wide diffusion of fake images have spawn a quest for reliable
forensic tools. Many GAN image detectors have been proposed, recently. In real world …

Al-synthesized faces are visually challenging to discern from real ones. They have been
used as profile images for fake social media accounts, which leads to high negative social …

Recent advances in the field of generative artificial intelligence (AI) have blurred the lines
between authentic and machine-generated content, making it almost impossible for humans …

Recently, digital face manipulation and its detection have sparked large interest in industry
and academia around the world. Numerous approaches have been proposed in the …