Enhancing MobileNet for efficient deepfake detection: a hybrid approach with GhostNet and ShuffleNet

• Main Author: Lee, Zheng Xuan
• Other Authors: Deepu Rajan
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Computer and Information Science; Deepfake detection; Deepfake; Mobilenet; Ghostnet; Shufflenet; Knowledge distillation; Channel pruning; Convolutional neural network
• Online Access: https://hdl.handle.net/10356/181143
• Institution: Nanyang Technological University

Deepfake technology, which involves the manipulation of video, audio, or images using artificial intelligence, has become a growing concern due to its potential for misuse in areas such as information security and social manipulation. Despite advances in deepfake detection, existing models are often...