The great development in the area of Artificial Intelligence (AI) has introduced tremendous
advancements in information technology. Moreover, the introduction of lightweight machine …

This work explores various ways of exploring multi-task learning (MTL) techniques aimed at
classifying videos as original or manipulated in cross-manipulation scenario to attend …

Recent advances in generative models and the availability of large-scale benchmarks have
made deepfake video generation and manipulation easier. Nowadays, the number of new …

Due to the recent progress in Deepfake generation, several datasets and manipulation
techniques have been proposed in the recent literature with various effective face-swap and …

Recently, researchers have attracted much attention to the realistic nature of multi-modal
deepfake content. They have employed plenty of handcrafted, learned features, and deep …

Manipulated images and videos, ie, deepfakes have become increasingly realistic due to
the tremendous progress of deep learning methods. However, such manipulation has …

Current methods for detecting deep fakes concentrate on specific patterns of forgery like
noise characteristics, local textures, or frequency statistics. These approaches assume …

In recent years, with the massive development of new deep learning tools, the production of
fake video content has become widespread. This fake content has the potential to cause …

Recent developments in advanced generative deep learning techniques have led to
considerable progress in deepfake technology. CNN-based deepfake detection approaches …

Background Deepfakes are fake images or videos generated by deep learning algorithms.
Ongoing progress in deep learning techniques like auto-encoders and generative …