Fighting against deepfakes in the wild

• Main Author: Chen, Xinyi
• Other Authors: Liu Yang
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2022
• Subjects: Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
• Online Access: https://hdl.handle.net/10356/156692
• Institution: Nanyang Technological University

Deepfakes are fake media generated by deep learning models. Deepfakes can easily give attackers the ability to control one's identity. Hence, attackers can make use of deepfakes to achieve their malicious purposes such as defamation and spreading misinformation. As deepfake generation tools...