Deepfake image detection has emerged as an important area of research due to its wide-
ranging implications for various security systems. In particular, in the field of deep learning …

Deepfakes represent the generation of synthetic/fake images or videos using deep neural
networks. As the techniques used for the generation of deepfakes are improving, the threats …

Deepfake is a deep learning-based technique that generates fake face images by mimicking
the distribution of original images. Deepfake images can be used for malicious intent like …

Deepfake is utilized in synthetic media to generate fake visual and audio content based on a
person's existing media. The deepfake replaces a person's face and voice with fake media …

Significant advances in deep learning have obtained hallmark accuracy rates for various
computer vision applications. However, advances in deep generative models have also led …

Recently, Deepfake has drawn considerable public attention due to security and privacy
concerns in social media digital forensics. As the wildly spreading Deepfake videos on the …

Images play an important role in defining human perception, and the power to manipulate
such images gives immense power to malicious users. The new advancement in Artificial …

Deepfake, a new video manipulation technique, has drawn much attention recently. Among
the unlawful or nefarious applications, Deepfake has been used for spreading …

In this work, we created a new large-scale unconstrained high-quality Deepfake Image
(DFIM-HQ) dataset containing 140K images. Compared to existing datasets, this dataset …

Deepfakes are generated using sophisticated deep-learning models to create fake images
or videos. As the techniques for creating deepfakes improve, issues like defamation …