Deep Fake Video Detection Using Transfer Learning Resnet50
S. Praveena, R. Kaviya, K.Sheerin Farhana, S. Bhuvanasri · International Research Journal on Advanced Engineering and Management (IRJAEM) · 2025
The rapid development of deep learning technologies has enabled the creation of highly realistic deepfake videos, raising concerns in areas such as media integrity, privacy, and security. Detecting these deepfakes has become a significant challenge, as conventional methods struggle to keep pace with increasingly sophisticated techniques. This journal explores the application of transfer learning using ResNet50, a pre-trained convolutional neural network, for deepfake video detection. We present an overview of deepfake creation, the role of ResNet50 in transfer learning, the implementation process, and the results of using this approach to detect deepfakes in video content.