Development of Deepfake Detection Techniques for Protecting Multimedia Information using Deep Learning-Reference-Cited by-同舟云学术

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Development of Deepfake Detection Techniques for Protecting Multimedia Information using Deep Learning

Published:2024-06-05 Issue: Volume:9 Page:786-791
ISSN:
Container-title:2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC)
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Author:

Siva Rama Lingham N¹,Devakanth J Jude Moses Anto¹,Raj Gowtham²,Gayathri K³,Janani R.⁴,Dhanapal R.⁵

Affiliation:

1. Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology,Department of Computer Science and Engineering,Chennai,India

2. Acharya Institute of Technology,Department of Computer Science and Engineering,Bangalore,India

3. Bannari Amman Institute of Technolgy,Department of Information Technology,Erode,India

4. Sri Krishna College of Engineering and Technology,Department of Computer Science and Engineering,Coimbatore,India

5. Karpagam Academy of Higher Education,Department of Computer Science and Engineering,Coimbatore,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10574858/10574894/10575155.pdf?arnumber=10575155

Reference21 articles.

1. FAMM: Facial Muscle Motions for Detecting Compressed Deepfake Videos Over Social Networks

2. Motion Magnified 3-D Residual-in-Dense Network for DeepFake Detection

3. DeepFake detection with multi-scale convolution and vision transformer

4. A Robust Approach to Multimodal Deepfake Detection

5. Efficient deepfake detection using shallow vision transformer

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