Aug. 4, 2023, 1:10 a.m. | Hangcheng Liu, Tao Xiang, Shangwei Guo, Han Li, Tianwei Zhang, Xiaofeng Liao

cs.CR updates on arXiv.org arxiv.org

Deep hiding, embedding images with others using deep neural networks, has
demonstrated impressive efficacy in increasing the message capacity and
robustness of secret sharing. In this paper, we challenge the robustness of
existing deep hiding schemes by preventing the recovery of secret images,
building on our in-depth study of state-of-the-art deep hiding schemes and
their vulnerabilities. Leveraging our analysis, we first propose a simple
box-free removal attack on deep hiding that does not require any prior
knowledge of the deep …

attack box challenge free high images message networks neural networks recovery repair robustness secret sharing

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