Comparative Analysis of Internal and External Facial Features for Enhanced Deep Fake Detection

Fatimah Alanazi

2024

Abstract

In the burgeoning era of deepfake technologies, the authenticity of digital media is being perpetually challenged, raising pivotal concerns regarding its veracity and the potential malicious uses of manipulated content. This study embarks on a meticulous exploration of the effectiveness of both internal and external facial features in discerning deepfake content. By conducting a thorough comparative analysis, our research illuminates the criticality of facial features, particularly those situated beyond the face’s center, in distinguishing between genuine and manipulated faces. The results elucidate that such features serve as potent indicators, thereby offering valuable insights for enhancing deepfake detection methodologies. Consequently, this research, therefore, not only underscores the paramount importance of these often-overlooked facial aspects but also contributes substantively to the domain of digital forensics, providing a nuanced understanding and innovative approaches towards advancing deepfake detection strategies. By bridging the gap between technological advancements and ethical digital media practices, this study stands as a beacon, advocating for the imperative need to safeguard the integrity of digital communications in our progressively digitized world.

Paper Citation

in Harvard Style

Alanazi F. (2024). Comparative Analysis of Internal and External Facial Features for Enhanced Deep Fake Detection. In Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-680-4, SciTePress, pages 308-314. DOI: 10.5220/0012346100003636

in Bibtex Style

@conference{icaart24,
author={Fatimah Alanazi},
title={Comparative Analysis of Internal and External Facial Features for Enhanced Deep Fake Detection},
booktitle={Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2024},
pages={308-314},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012346100003636},
isbn={978-989-758-680-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - Comparative Analysis of Internal and External Facial Features for Enhanced Deep Fake Detection
SN - 978-989-758-680-4
AU - Alanazi F.
PY - 2024
SP - 308
EP - 314
DO - 10.5220/0012346100003636
PB - SciTePress