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Semantic-Preserving Linguistic Steganography by Pivot Translation and Semantic-Aware Bins Coding
In this paper, we propose a novel LS method to modify a given text by pivoting it between two different languages and embed secret data by applying a GLS-like information encoding strategy.
Exploiting Language Model for Efficient Linguistic Steganalysis
Such kind of difference can be naturally captured by the language model used for generating stego texts.
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