Hybrid Deep Learning Model Based on GAN and RESNET for Detecting Fake Faces-Reference-Cited by-同舟云学术

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Hybrid Deep Learning Model Based on GAN and RESNET for Detecting Fake Faces

Published:2024 Issue: Volume:12 Page:86391-86402
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Safwat Soha¹,Mahmoud Ayat²,Eldesouky Fattoh Ibrahim³^ORCID,Ali Farid⁴^ORCID

Affiliation:

1. Software Engineering and Information Technology Department, Faculty of Engineering and Technology, The Egyptian Chinese University, Cairo, Egypt

2. Department of Computer Science, Faculty of Computer Science, MSA University, Cairo, Egypt

3. Department of Computer Science, Faculty of Computers and Artificial Intelligence, Beni-Suef University, Beni Suef, Egypt

4. Department of Information Technology, Faculty of Computers and Artificial Intelligence, Beni-Suef University, Beni Suef, Egypt

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10562247.pdf?arnumber=10562247

Reference32 articles.

1. Real and Fake Face Detection: A Comprehensive Evaluation of Machine Learning and Deep Learning Techniques for Improved Performance

2. High-compressed deepfake video detection with contrastive spatiotemporal distillation

3. Adversarial Perturbations Fool Deepfake Detectors

4. A novel approach for detecting deep fake videos using graph neural network

5. My NSFW video has partial occlusion: deepfakes and the technological production of non-consensual pornography

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