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Addressing Segmentation Ambiguity in Neural Linguistic Steganography. (arXiv:2211.06662v1 [cs.CL])
Nov. 15, 2022, 2:16 a.m. | Jumon Nozaki, Yugo Murawaki
cs.CL updates on arXiv.org arxiv.org
Previous studies on neural linguistic steganography, except Ueoka et al.
(2021), overlook the fact that the sender must detokenize cover texts to avoid
arousing the eavesdropper's suspicion. In this paper, we demonstrate that
segmentation ambiguity indeed causes occasional decoding failures at the
receiver's side. With the near-ubiquity of subwords, this problem now affects
any language. We propose simple tricks to overcome this problem, which are even
applicable to languages without explicit word boundaries.
More from arxiv.org / cs.CL updates on arXiv.org
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