Robust Coverless Linguistic Steganography via Sentence Embedding Space with Global Resynchronization
Researchers propose a coverless steganographic framework encoding messages as hierarchical clustering paths in sentence embedding space with a Global Resynchronization Mechanism for robustness.
An arXiv paper proposes encoding secret messages as hierarchical clustering paths in the sentence embedding space rather than token space, improving decoding stability against word- and sentence-level textual perturbations. A Global Resynchronization Mechanism (GRM) reframes variable-length bitstreams as discrete symbols anchored to semantic subspaces to prevent bit-slippage. Experiments show substantial robustness improvements while maintaining embedding capacity and resistance to statistical analysis.
- Encodes secrets as hierarchical clustering paths in sentence embedding space
- GRM anchors variable-length bitstreams to semantic subspaces to prevent bit-slippage
- Experiments show robustness to word- and sentence-level perturbations
From the original article
1 min read at arxiv.orgLinguistic steganography enables covert communication through natural language. Existing methods heavily rely on token-level operations and struggle to maintain reliability under word- and sentence-level textual perturbations.
By Lizhi Xiong · arxiv.org
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