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Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash. (arXiv:2111.06628v4 [cs.LG] UPDATED)
June 10, 2022, 1:11 a.m. | Lukas Struppek, Dominik Hintersdorf, Daniel Neider, Kristian Kersting
cs.LG updates on arXiv.org arxiv.org
Apple recently revealed its deep perceptual hashing system NeuralHash to
detect child sexual abuse material (CSAM) on user devices before files are
uploaded to its iCloud service. Public criticism quickly arose regarding the
protection of user privacy and the system's reliability. In this paper, we
present the first comprehensive empirical analysis of deep perceptual hashing
based on NeuralHash. Specifically, we show that current deep perceptual hashing
may not be robust. An adversary can manipulate the hash values by applying
slight …
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