Deepfake attribution: On the source identification of artificially generated images-Reference-Cited by-同舟云学术

Deepfake attribution: On the source identification of artificially generated images

Published:2021-12-03 Issue: Volume: Page:
ISSN:1942-4787
Container-title:WIREs Data Mining and Knowledge Discovery
language:en
Short-container-title:WIREs Data Mining Knowl Discov

Author:

Khoo Brandon¹^ORCID,Phan Raphaël C.‐W.¹²^ORCID,Lim Chern‐Hong¹^ORCID

Affiliation:

1. School of IT Monash University, Malaysia campus Subang Jaya Malaysia

2. Department of Software Systems & Cybersecurity, Faculty of IT Monash University Melbourne Victoria Australia

Publisher

Wiley

Subject

General Computer Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/widm.1438

Reference73 articles.

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4. Ajder H.(2020). Deepfake detection API: The automated solution for identifying fake faces.https://sensity.ai/deepfakedetection-api-the-automated-solution-for-identifying-fake-faces/

5. Ajder H. Patrini G. Cavalli F.&Cullen L.(2019). The state of deepfakes: Landscape threats and impact. Technical report.https://regmedia.co.uk/2019/10/08/deepfake_report.pdf

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