Sept. 20, 2023, 1:10 a.m. | Yuqi Wang, Gang Cao, Zijie Lou, Haochen Zhu

cs.CR updates on

It is significant to evaluate the security of existing digital image
tampering localization algorithms in real-world applications. In this paper, we
propose an adversarial attack scheme to reveal the reliability of such
tampering localizers, which would be fooled and fail to predict altered regions
correctly. Specifically, the adversarial examples based on optimization and
gradient are implemented for white/black-box attacks. Correspondingly, the
adversarial example is optimized via reverse gradient propagation, and the
perturbation is added adaptively in the direction of gradient …

adversarial algorithms applications attack digital fail image localization predict reliability security tampering world

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