Countering malicious deepfakes: survey, battleground, and horizon

• Main Authors: Xu, Felix Juefei, Wang, Run, Huang, Yihao, Guo, Qing, Ma, Lei, Liu, Yang
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Computer science and engineering; DeepFake Generation; DeepFake Detection
• Online Access: https://hdl.handle.net/10356/162703
• Institution: Nanyang Technological University

The creation or manipulation of facial appearance through deep generative approaches, known as DeepFake, have achieved significant progress and promoted a wide range of benign and malicious applications, e.g., visual effect assistance in movie and misinformation generation by faking famous persons....