arXiv Open Access 2022

Addressing Segmentation Ambiguity in Neural Linguistic Steganography

Jumon Nozaki Yugo Murawaki

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Abstrak

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.

Topik & Kata Kunci

cs.CL

Penulis (2)

Jumon Nozaki

Yugo Murawaki

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Nozaki, J., Murawaki, Y. (2022). Addressing Segmentation Ambiguity in Neural Linguistic Steganography. https://arxiv.org/abs/2211.06662

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Informasi Jurnal

Tahun Terbit: 2022
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓