Text steganography method based on generative adversarial network
A network and text technology, applied in the Internet field, can solve problems affecting the accuracy and fluency of text grammar, and achieve high-quality results
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[0029] In order to deepen the understanding of the present invention, the present invention will be further described below in conjunction with the examples, which are only used to explain the present invention, and do not constitute a limitation to the protection scope of the present invention.
[0030] This embodiment discloses a text steganography method based on generating an adversarial network, which is characterized in that it includes:
[0031] Text generation model based on Generative Adversarial Network (hereinafter referred to as GAN): Generative Adversarial Network consists of two parts, the first part is the raw network, the second part is the discriminant network, let the raw network and the discriminant network compete with each other, and generate false The confrontation network uses the discriminator to judge the authenticity of the data, and finally uses the data generated by the generation network to deceive the discriminator with the false ones;
[0032] Op...
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