… framework to detect fake videos through the utilization of transfer learning in autoencoders
… for both, with and without transfer learning to validate the effectiveness of transfer learning. …

… with Deepfake detection. The paper also contributes to the concept of transfer learning and
… computational resources and cannot train a deep learning model for several days on GPUs …

… The main contributions of this study are outlined as follows: • This work introduces a novel
transfer learning approach called the Improved Xception Model for detecting fake videos. To …

… This paper also assesses the effectiveness of the concept of transfer learning in the
detection of deepfake images. The following sections of the paper are structured as follows—Section …

… in the detection of deep fakes. Section IV provides a description of the usage transfer learning
for our application. Section V gives a detailed description of the detection models that we …

… study on DeepFake detection … study include the usage of Transfer Learning, and different
combinations of train and test sets chosen from the available database of real and deep-fake …

… Creation of Deepfake videos This paper focuses on detecting Deepfake videos using the …
As mentioned earlier, the process of Deepfake videos depends on the use of the victim’s …

… This paper presents an approach using transfer learning to detect DeepFake videos. The
empirical results obtained by using pretrained weights and simple image augmentation …

… transfer learning, we have applied it for detecting deepfake … a real-world deepfake dataset
created using commercial software. … transfer learning approach for the detection of deepfake …

… deepfake detection research and is publicly available. For this research, nine transfer learning
… The goal for modifying transfer learning networks for this study was to reduce the models' …