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Authors: Chun-Shien Lu and Chao-Hsuan Lin

Affiliation: Institute of Information Science, Academia Sinica, ROC, Taiwan

Keyword(s): AI Security, Deepfake, Image Forensics, Perceptual Hashing, Robustness.

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.

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Paper citation in several formats:
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 - ICISSP; ISBN 978-989-758-683-5; ISSN 2184-4356, SciTePress, pages 374-378. DOI: 10.5220/0012317800003648

@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 - ICISSP},
year={2024},
pages={374-378},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012317800003648},
isbn={978-989-758-683-5},
issn={2184-4356},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Information Systems Security and Privacy - ICISSP
TI - Robust Image Deepfake Detection with Perceptual Hashing
SN - 978-989-758-683-5
IS - 2184-4356
AU - Lu, C.
AU - Lin, C.
PY - 2024
SP - 374
EP - 378
DO - 10.5220/0012317800003648
PB - SciTePress

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