Hybrid Transformer Network for Deepfake Detection

Author:

Khan Sohail Ahmed1,Dang-Nguyen Duc-Tien1

Affiliation:

1. MediaFutures, Department of Information Science and Media Studies, University of Bergen, Norway

Publisher

ACM

Reference28 articles.

1. Darius Afchar , Vincent Nozick , Junichi Yamagishi , and Isao Echizen . 2018 . MesoNet: a Compact Facial Video Forgery Detection Network . In Proceedings of IEEE International Workshop on Information Forensics and Security (WIFS). IEEE. https://arxiv.org/abs/1809 .00888 Darius Afchar, Vincent Nozick, Junichi Yamagishi, and Isao Echizen. 2018. MesoNet: a Compact Facial Video Forgery Detection Network. In Proceedings of IEEE International Workshop on Information Forensics and Security (WIFS). IEEE. https://arxiv.org/abs/1809.00888

2. A Deep Learning Approach to Universal Image Manipulation Detection Using a New Convolutional Layer

3. L. Bondi , Edoardo Daniele Cannas , Paolo Bestagini , and Stefano Tubaro . 2020 . Training Strategies and Data Augmentations in CNN-based DeepFake Video Detection . Proceedings of the IEEE International Workshop on Information Forensics and Security (WIFS)(2020) , 1–6. L. Bondi, Edoardo Daniele Cannas, Paolo Bestagini, and Stefano Tubaro. 2020. Training Strategies and Data Augmentations in CNN-based DeepFake Video Detection. Proceedings of the IEEE International Workshop on Information Forensics and Security (WIFS)(2020), 1–6.

4. François Chollet . 2017 . Xception: Deep Learning with Depthwise Separable Convolutions . In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE. https://arxiv.org/abs/1610 .02357 François Chollet. 2017. Xception: Deep Learning with Depthwise Separable Convolutions. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE. https://arxiv.org/abs/1610.02357

5. Umur Aybars Ciftci , ˙ Ilke Demir , and Lijun Yin . 2020. FakeCatcher: Detection of Synthetic Portrait Videos using Biological Signals . In IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE. https://arxiv.org/abs/ 1901 .02212 Umur Aybars Ciftci, ˙Ilke Demir, and Lijun Yin. 2020. FakeCatcher: Detection of Synthetic Portrait Videos using Biological Signals. In IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE. https://arxiv.org/abs/1901.02212

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1. A survey of Deepfake and related digital forensics;Journal of Image and Graphics;2024

2. Improving Detection of DeepFakes through Facial Region Analysis in Images;Electronics;2023-12-28

3. Fake-checker: A fusion of texture features and deep learning for deepfakes detection;Multimedia Tools and Applications;2023-11-03

4. Exposing Deepfakes using Dual-Channel Network with Multi-Axis Attention and Frequency Analysis;Proceedings of the 2023 ACM Workshop on Information Hiding and Multimedia Security;2023-06-28

5. Deep Convolutional Pooling Transformer for Deepfake Detection;ACM Transactions on Multimedia Computing, Communications, and Applications;2023-05-30

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