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A new coverless image information hiding method based on generative model isproposed, we feed the secret image to the generative model database, andgenerate a meaning-normal and independent image different from the secretimage, then, the generated image is transmitted to the receiver and is fed tothe generative model database to generate another image visually the same asthe secret image. So we only need to transmit the meaning-normal image which isnot related to the secret image, and we can achieve the same effect as thetransmission of the secret image. This is the first time to propose thecoverless image information hiding method based on generative model, comparedwith the traditional image steganography, the transmitted image does not embedany information of the secret image in this method, therefore, can effectivelyresist steganalysis tools. Experimental results show that our method has highcapacity, safety and reliability.

Coverless information hiding based on Generative Model