Detection of Deepfake Videos Using Long-Distance Attention

Author:

Lu Wei1ORCID,Liu Lingyi1,Zhang Bolin1ORCID,Luo Junwei1,Zhao Xianfeng2ORCID,Zhou Yicong3ORCID,Huang Jiwu4ORCID

Affiliation:

1. Guangdong Province Key Laboratory of Information Security Technology, Ministry of Education Key Laboratory of Machine Intelligence and Advanced Computing, School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China

2. Institute of Information Engineering, State Key Laboratory of Information Security, Chinese Academy of Sciences, Beijing, China

3. Department of Computer and Information Science, University of Macau, Macau, China

4. Guangdong Key Laboratory of Intelligent Information Processing and the Shenzhen Key Laboratory of Media Security, Shenzhen University, Shenzhen, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Fine-Grained Multimodal DeepFake Classification via Heterogeneous Graphs;International Journal of Computer Vision;2024-06-06

2. Face forgery detection by progressively enhancing spatial and frequency-aware features;Multimedia Systems;2024-05-24

3. Preprocessing and Feature Extraction based Deepfake Detection on Combined dataset;2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI);2024-03-14

4. FDML: Feature Disentangling and Multi-view Learning for face forgery detection;Neurocomputing;2024-03

5. Improving Generalization of Deepfake Detectors by Imposing Gradient Regularization;IEEE Transactions on Information Forensics and Security;2024

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