Cyber Vaccine for Deepfake Immunity

Fuente: arXiv
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Auteurs principaux: Chang, Ching-Chun, Nguyen, Huy Hong, Yamagishi, Junichi, Echizen, Isao
Format: Preprint
Publié: 2023
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author Chang, Ching-Chun
Nguyen, Huy Hong
Yamagishi, Junichi
Echizen, Isao
author_facet Chang, Ching-Chun
Nguyen, Huy Hong
Yamagishi, Junichi
Echizen, Isao
contents Deepfakes pose an evolving threat to cybersecurity, which calls for the development of automated countermeasures. While considerable forensic research has been devoted to the detection and localisation of deepfakes, solutions for reversing fake to real are yet to be developed. In this study, we introduce cyber vaccination for conferring immunity to deepfakes. Analogous to biological vaccination that injects antigens to induce immunity prior to infection by an actual pathogen, cyber vaccination simulates deepfakes and performs adversarial training to build a defensive immune system. Aiming at building up attack-agnostic immunity with limited computational resources, we propose to simulate various deepfakes with one single overpowered attack: face masking. The proposed immune system consists of a vaccinator for inducing immunity and a neutraliser for recovering facial content. Experimental evaluations demonstrate effective immunity to face replacement, face reenactment and various types of corruptions.
format Preprint
id arxiv_https___arxiv_org_abs_2303_02659
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Cyber Vaccine for Deepfake Immunity
Chang, Ching-Chun
Nguyen, Huy Hong
Yamagishi, Junichi
Echizen, Isao
Cryptography and Security
Multimedia
Deepfakes pose an evolving threat to cybersecurity, which calls for the development of automated countermeasures. While considerable forensic research has been devoted to the detection and localisation of deepfakes, solutions for reversing fake to real are yet to be developed. In this study, we introduce cyber vaccination for conferring immunity to deepfakes. Analogous to biological vaccination that injects antigens to induce immunity prior to infection by an actual pathogen, cyber vaccination simulates deepfakes and performs adversarial training to build a defensive immune system. Aiming at building up attack-agnostic immunity with limited computational resources, we propose to simulate various deepfakes with one single overpowered attack: face masking. The proposed immune system consists of a vaccinator for inducing immunity and a neutraliser for recovering facial content. Experimental evaluations demonstrate effective immunity to face replacement, face reenactment and various types of corruptions.
title Cyber Vaccine for Deepfake Immunity
topic Cryptography and Security
Multimedia
url https://arxiv.org/abs/2303.02659