Despite having completely different configurations deep learning architectures learn a
specific set of features that are common across architectures. For example the initial few …

Driven by the advances in deep learning, highly photo-realistic techniques capable of
switching the identity and expression of faces have emerged. Cheap access to computing …

With the advancement of photo editing softwares, nowadays facial retouching becomes a
common practice across different social media platforms, Curriculum Vitae (CV) related …

The rapid progress in the ease of creating and spreading ultra-realistic media over social
platforms calls for an urgent need to develop a generalizable deepfake detection technique …

Facial retouching, aiming at enhancing an individual's appearance digitally, has become
popular in many parts of human life, such as personal entertainment, commercial …

Abstract Machine learning algorithms especially deep neural networks have seen
tremendous growth in their real-world deployment. While these algorithms have to yield high …

Digital face images can be easily manipulated for obfuscating or impersonating an identity.
Several techniques are used for face manipulation, both traditional computer vision based …

Deepfake detection research has seen tremendous success and has achieved remarkably
high performance on a few existing datasets. However, the significant drawback of the …

The sharing of fake content on social media platforms has become a major concern. In many
cases, the same content with small variations is shared multiple times on different social …

Face image authentication (FIA) schemes have recently been developed using face
detection and image watermarking technology. The research in this direction proved the …