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    Robust Information Hiding Based on Neural Style Transfer with Artificial Intelligence

    Xiong Zhang1,2, Minqing Zhang1,2,3,*, Xu An Wang1,2,3, Wen Jiang1,2, Chao Jiang1,2, Pan Yang1,4

    CMC-Computers, Materials & Continua, Vol.79, No.2, pp. 1925-1938, 2024, DOI:10.32604/cmc.2024.050899

    Abstract This paper proposes an artificial intelligence-based robust information hiding algorithm to address the issue of confidential information being susceptible to noise attacks during transmission. The algorithm we designed aims to mitigate the impact of various noise attacks on the integrity of secret information during transmission. The method we propose involves encoding secret images into stylized encrypted images and applies adversarial transfer to both the style and content features of the original and embedded data. This process effectively enhances the concealment and imperceptibility of confidential information, thereby improving the security of such information during transmission and… More >

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