Deepfake Forensics via an Adversarial Game

With the progress in AI-based facial forgery (i.e., deepfake), people are concerned about its abuse. Albeit effort has been made for training models to recognize such forgeries, existing models suffer from poor generalization to unseen forgery technologies and high sensitivity to changes in image/vi...

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Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 31(2022) vom: 11., Seite 3541-3552
1. Verfasser: Wang, Zhi (VerfasserIn)
Weitere Verfasser: Guo, Yiwen, Zuo, Wangmeng
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2022
Zugriff auf das übergeordnete Werk:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:Journal Article