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WildDeepfake: a challenging real-world dataset for deepfake detection

Version 2 2024-06-06, 10:51
Version 1 2021-06-09, 08:16
conference contribution
posted on 2024-06-06, 10:51 authored by B Zi, M Chang, J Chen, X Ma, YG Jiang
WildDeepfake: a challenging real-world dataset for deepfake detection

History

Pagination

2382-2390

Location

Seattle, Washington

Publisher DOI

Start date

2020-10-12

End date

2020-10-16

ISBN-13

9781450379885

Language

eng

Publication classification

E1 Full written paper - refereed

Editor/Contributor(s)

Chen CW, Cucchiara R, Hua X-S, Qi G-J, Ricci E, Zhang Z, Zimmermann R, Atrey PK, Li Z

Title of proceedings

MM 2020 : Proceedings of the 28th ACM International Conference on Multimedia

Event

Association for Computing Machinery. Conference (28th : 2020 : Seattle, Washington)

Publisher

Association for Computing Machinery

Place of publication

New York, N.Y.

Series

Association for Computing Machinery Conference

Usage metrics

    Research Publications

    Categories

    Keywords

    Datasetsdeep learningdeepfake detectionCORE2020 A*4603 Computer vision and multimedia computation

    Licence

    All Rights Reserved

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