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$\mathbf{S^2LM}$: Towards Semantic Steganography via Large Language Models
Despite remarkable progress in steganography, embedding sentence-level information into cover media remains challenging. In this work, we present the concept of \textbf{Semantic-Payload Steganography}, which aims to hide semantically meaningful and structured content, such as sentences, in cover med
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