Deepfake Detection is a multimedia forensic method designed to distinguish synthetically generated or manipulated visual content from authentic imagery by identifying artifacts indicative of artificial generation or alteration.
666
Publications
54.8K
Citations
2K
Authors
672
Institutions
Publications per year
2017–2026
666
Publications
666
MesoNet: a Compact Facial Video Forgery Detection Network
Darius Afchar, Vincent Nozick, Junichi Yamagishi et al. · 2018 · 1.7K citations · Full text
Celeb-DF: A Large-Scale Challenging Dataset for DeepFake Forensics
Deepfake Video Detection Using Recurrent Neural Networks
David Güera, Edward J. Delp · 2018 · 1.2K citations
Exposing Deep Fakes Using Inconsistent Head Poses
1–5 of 666
Institutions
672
Chinese Academy of Sciences
Beijing, China
18 h-index
70 publications
5.6K citations
University of Chinese Academy of Sciences
Beijing, China
18 h-index
63 publications
7.9K citations
Nanyang Technological University
Singapore, Singapore
14 h-index
35 publications
2.3K citations
Institute of Information Engineering
Beijing, China
13 h-index
40 publications
2.5K citations
University at Buffalo, State University of New York
Buffalo, United States
13 h-index
30 publications
1.5K citations
Sungkyunkwan University
Seoul, South Korea
12 h-index
33 publications
1.8K citations
Wuhan University
Wuhan, China
11 h-index
29 publications
1.4K citations
Sun Yat-sen University
Guangzhou, China
11 h-index
34 publications
1.7K citations
1–8 of 672
Venues
- arXiv (Cornell University)
Repository · 66 publications · 4.3K citations
28
h-index
- IEEE Access
23 publications · 2.6K citations
22
h-index
- IEEE Transactions on Circuits and Systems for Video Technology
14 publications · 982 citations
14
h-index
- IEEE Transactions on Information Forensics and Security
14 publications · 1.2K citations
14
h-index
- ACM Transactions on Multimedia Computing Communications and Applications
TOMCCAP · 12 publications · 607 citations
12
h-index
1–5