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Human Detection of Deepfakes

The task of detecting deepfake stimuli, as given to human participants in a statistical study. Methodologies should ideally include a-priori power analysis (e.g. using the GPower software) to calculate the sample size of human participants that would be sufficient to detect the presence of a main effect of a specified effect size.

Papers

Showing 12 of 2 papers

TitleStatusHype
Joint Audio-Visual Attention with Contrastive Learning for More General Deepfake Detection0
Testing Human Ability To Detect Deepfake Images of Human FacesCode0
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