Awareness to Deepfake: A resistance mechanism to Deepfake

Ahmed, Mohammad Faisal Bin and Miah, M. Saef Ullah and Bhowmik, Abhijit and Sulaiman, Junaida (2021) Awareness to Deepfake: A resistance mechanism to Deepfake. In: 2021 International Congress of Advanced Technology and Engineering, ICOTEN 2021 , 4 - 5 July 2021 , Virtual, Online. pp. 1-5. (9493549). ISBN 978-166541224-7

Pdf
Awareness to Deepfake- A resistance mechanism to deepfake_FULL.pdf
Restricted to Repository staff only
Download (1MB) | Request a copy

Preview

Pdf
Awareness to Deepfake- A resistance mechanism to Deepfake.pdf
Download (132kB) | Preview

DOI/Official URL: https://doi.org/10.1109/ICOTEN52080.2021.9493549

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.

Item Type:	Conference or Workshop Item (Lecture)
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	Deepfake; Deepfake awareness; Artificial Intelligence; Cyber Crime; Deepfake study
Subjects:	Q Science > QA Mathematics > QA76 Computer software T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division:	Institute of Postgraduate Studies Faculty of Computing
Depositing User:	Mrs Norsaini Abdul Samat
Date Deposited:	10 Jan 2023 02:23
Last Modified:	10 Jan 2023 02:23
URI:	http://umpir.ump.edu.my/id/eprint/36662
Download Statistic:	View Download Statistics

Actions (login required)

View Item