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Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3152126
Abstract: In this letter, we propose a novel linguistic steganographic method that directly conceals a token-level secret message in a seemingly-natural steganographic text generated by the off-the-shelf BERT model equipped with Gibbs sampling. Compared with all…
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Keywords:
gibbs sampling;
alisa acrostic;
secret message;
linguistic steganographic ... See more keywords