Unmasking deepfakes: A systematic review of deepfake detection and generation techniques using artificial intelligence

Author:

Abbas FakharORCID,Taeihagh ArazORCID

Funder

Government of Singapore Ministry of Education

National University of Singapore

Publisher

Elsevier BV

Reference233 articles.

1. Deepfake detection based on the xception model;Abdelkhalki;Journal of Theoretical and Applied Information Technology,2022

2. Deep learning for face image synthesis and semantic manipulations: A review and future perspectives;Abdolahnejad;Artificial Intelligence Review,2020

3. Detecting deepfake images using deep learning techniques and explainable AI methods;Abir;Intelligent Automation & Soft Computing,2022

4. Deepfake detection using GAN discriminators;Aduwala;IEEE Seventh International Conference on Big Data Computing Service and Applications (BigDataService),2021

5. ResViT: A framework for deepfake videos detection;Ahmad;International Journal of Electrical and Computer Engineering Systems,2022

Cited by 2 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. Real-Time Deepfake Video Detection Using Eye Movement Analysis with a Hybrid Deep Learning Approach;Electronics;2024-07-26

2. Consumer Engagement;Advances in Information Security, Privacy, and Ethics;2024-07-26

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