Image camouflage based on Generative Model
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To protect image contents, most existing encryption algorithms are designed to transform an original image into a texture-like or noise-like image which is, however, an obvious visual sign indicating the presence of an encrypted image and thus results in a significantly large number of attacks. To address this problem, we propose a new image encryption concept that a meaningful normal image that is independent of the original image and the corresponding well-trained generative model can generate the same image as the original image in this paper, instead of transmitting the original image, to achieve the effect of disguising the original image. This image camouflage method not only solves the problem of obviously visual implication, but also guarantees the security of the information.
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