Text Steganography with Dynamic Codebook and Multimodal Large Language Model
With the popularity of the large language models (LLMs), text steganography has achieved remarkable performance. However, existing methods still have some issues: (1) For the white-box paradigm, this steganography behavior is prone to exposure due to sharing the off-the-shelf language model between Alice and Bob. (2) For the black-box paradigm, these methods lack flexibility and practicality since Alice and Bob should share the fixed codebook while sharing a specific extraction prompt for each steganographic sentence. In order to improve the security and practicality, we introduce a black-box text steganography with a dynamic codebook and multimodal large language model. Specifically, we ...
| Authors | Jianxin Gao, Ruohan Lei, Wanli Peng |
|---|---|
| Primary category | cs.CR |
| Published | 22 April 2026 |
| Last updated at source | 6 August 2026 |
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