eprintid: 18232
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/82/32
datestamp: 2024-06-04 14:10:23
lastmod: 2024-06-04 14:10:23
status_changed: 2024-06-04 14:01:49
type: article
metadata_visibility: show
creators_name: Arshed, M.A.
creators_name: Alwadain, A.
creators_name: Faizan Ali, R.
creators_name: Mumtaz, S.
creators_name: Ibrahim, M.
creators_name: Muneer, A.
title: Unmasking Deception: Empowering Deepfake Detection with Vision Transformer Network
ispublished: pub
note: cited By 2
abstract: With the development of image-generating technologies, significant progress has been made in the field of facial manipulation techniques. These techniques allow people to easily modify media information, such as videos and images, by substituting the identity or facial expression of one person with the face of another. This has significantly increased the availability and accessibility of such tools and manipulated content termed �deepfakes�. Developing an accurate method for detecting fake images needs time to prevent their misuse and manipulation. This paper examines the capabilities of the Vision Transformer (ViT), i.e., extracting global features to detect deepfake images effectively. After conducting comprehensive experiments, our method demonstrates a high level of effectiveness, achieving a detection accuracy, precision, recall, and F1 rate of 99.5 to 100 for both the original and mixture data set. According to our existing understanding, this study is a research endeavor incorporating real-world applications, specifically examining Snapchat-filtered images. © 2023 by the authors.
date: 2023
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176473535&doi=10.3390%2fmath11173710&partnerID=40&md5=7428fd1064bf780d875cc625d7401891
id_number: 10.3390/math11173710
full_text_status: none
publication: Mathematics
volume: 11
number: 17
refereed: TRUE
citation:   Arshed, M.A. and Alwadain, A. and Faizan Ali, R. and Mumtaz, S. and Ibrahim, M. and Muneer, A.  (2023) Unmasking Deception: Empowering Deepfake Detection with Vision Transformer Network.  Mathematics, 11 (17).