This article has been accepted for publication in ieee access

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• who: Deepfake Types Based on et al. from the Graduate School of Information Security, KAIST, Republic of Korea School of Software, Hallym University, Republic of Korea have published the article: This Article has been accepted for publication in IEEE Access, in the Journal: (JOURNAL)
• what: The authors propose a technique for detecting various of images using three common generated by deepfakes: warping artifacts and blur effects. The authors propose a generalized detection method using traces to detect three types of deepfake (face-swap, puppet-master, and attribute-change). Instead of using a general network of . . .
  

   

  

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