Training Strategies and Data Augmentations in CNN-based DeepFake Video Detection-Reference-Cited by-同舟云学术

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Training Strategies and Data Augmentations in CNN-based DeepFake Video Detection

Published:2020-12-06 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE International Workshop on Information Forensics and Security (WIFS)
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Author:

Bondi Luca,Daniele Cannas Edoardo,Bestagini Paolo,Tubaro Stefano

Funder

Ministry of Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9360831/9360880/09360901.pdf?arnumber=9360901

Cited by 45 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. Cyber Security Focused Deepfake Detection System Using Big Data;SN Computer Science;2024-08-01

2. Towards Generalized Detection of Face-Swap Deepfake Images;Proceedings of the 3rd ACM Workshop on the Security Implications of Deepfakes and Cheapfakes;2024-07

3. An enhanced governance measure for deep synthesis applications: Addressing the moderating effect of moral sensitivity through message framing;Information & Management;2024-07

4. Training Deepfake Detection Model from Photos with Face Mask;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

5. Investigating Translation Invariance and Shiftability in CNNs for Robust Multimedia Forensics: A JPEG Case Study;Proceedings of the 2024 ACM Workshop on Information Hiding and Multimedia Security;2024-06-24

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