DeepFake Detection using Fused Convolutional Neural Network Predictions

Deepfakes are synthetically generated images, videos or audios, which fraudsters use to manipulate legitimate information. The proposed technique outperforms state-of-the-art models with 96.5% accuracy, when tested on publicly available DeepFake Detection Challenge (DFDC) test data, comprising of 400 videos.