Potential Attacks of DeepFake on eKYC Systems and Remedy for eKYC with DeepFake Detection Using Two-Stream Network of Facial Appearance and Motion Features-Reference-Cited by-同舟云学术

Potential Attacks of DeepFake on eKYC Systems and Remedy for eKYC with DeepFake Detection Using Two-Stream Network of Facial Appearance and Motion Features

Published:2022-09-03 Issue:6 Volume:3 Page:
ISSN:2661-8907
Container-title:SN Computer Science
language:en
Short-container-title:SN COMPUT. SCI.

Author:

Do Trong-Le^ORCID,Tran Mai-Khiem^ORCID,Nguyen Huy H.^ORCID,Tran Minh-Triet^ORCID

Funder

University of Science, Vietnam National University Ho Chi Minh City

Publisher

Springer Science and Business Media LLC

Subject

General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s42979-022-01364-x.pdf

Reference49 articles.

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3. Terrifying high-tech porn: Creepy ‘deepfake’ videos are on the rise. https://www.foxnews.com/tech/terrifying-high-tech-porn-creepy-deepfake-videos-are-on-the-rise (2018). Accessed 18 Jul 2022.

4. Agarwal S, Farid H, Fried O, Agrawala M. Detecting deep-fake videos from phoneme-viseme mismatches. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (CVPR) workshops (2020).

5. Agarwal S, Farid H, Fried O, Agrawala M. Detecting deep-fake videos from phoneme-viseme mismatches. In: 2020 IEEE/CVF conference on computer vision and pattern recognition workshops (CVPRW). 2020; p. 2814–22.

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