Please use this identifier to cite or link to this item: http://dspace.aiub.edu:8080/jspui/handle/123456789/1900
Title: Awareness to Deepfake: A resistance mechanism to Deepfake
Authors: Ahmed, Mohammad Faisal Bin
Miah, M. Saef Ullah
Bhowmik, Abhijit
Sulaiman, Juniada Binti
Keywords: Deepfake
Deepfake awareness
Artificial Intelligence
Cyber Crime
Deepfake study
Issue Date: Jul-2021
Publisher: IEEE
Citation: 10
Series/Report no.: Paper No: 79;Pages 327-331
Abstract: The goal of this study is to find whether exposure to Deepfake videos makes people better at detecting Deepfake videos and whether it is a better strategy against fighting Deepfake. For this study a group of people from Bangladesh has volunteered. This group were exposed to a number of Deepfake videos and asked subsequent questions to verify improvement on their level of awareness and detection in context of Deepfake videos. This study has been performed in two phases, where second phase was performed to validate any generalization. The fake videos are tailored for the specific audience and where suited, are created from scratch. Finally, the results are analyzed, and the study’s goals are inferred from the obtained data.
URI: http://dspace.aiub.edu:8080/jspui/handle/123456789/1900
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