Robust Image Deepfake Detection with Perceptual Hashing

Chun-Shien Lu, Chao-Hsuan Lin

2024

Abstract

Owing to advert of deep learning, deepfake has received considerable attention in this deep learning era. The challenging problem of deepfake detection has been identified to the generalization capability in two aspects: (1) Cross-dataset evaluation and (2) Robustness against content-preserving image manipulations. In this work, we study an image hashing scheme that can be plugged into the existing deepfake detection model to improve their generalization capability. Preliminary experimental results have demonstrates the effectiveness of our perceptual image hashing method.

Paper Citation

in Harvard Style

Lu C. and Lin C. (2024). Robust Image Deepfake Detection with Perceptual Hashing. In Proceedings of the 10th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP; ISBN 978-989-758-683-5, SciTePress, pages 374-378. DOI: 10.5220/0012317800003648

in Bibtex Style

@conference{icissp24,
author={Chun-Shien Lu and Chao-Hsuan Lin},
title={Robust Image Deepfake Detection with Perceptual Hashing},
booktitle={Proceedings of the 10th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP},
year={2024},
pages={374-378},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012317800003648},
isbn={978-989-758-683-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP
TI - Robust Image Deepfake Detection with Perceptual Hashing
SN - 978-989-758-683-5
AU - Lu C.
AU - Lin C.
PY - 2024
SP - 374
EP - 378
DO - 10.5220/0012317800003648
PB - SciTePress