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arXiv · 2104.09833

Frustratingly Easy Edit-based Linguistic Steganography with a Masked Language Model

Honai Ueoka·Yugo Murawaki·Sadao Kurohashi
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Abstract

With advances in neural language models, the focus of linguistic steganography has shifted from edit-based approaches to generation-based ones. While the latter's payload capacity is impressive, generating genuine-looking texts remains challenging. In this paper, we revisit edit-based linguistic steganography, with the idea that a masked language model offers an off-the-shelf solution. The proposed method eliminates painstaking rule construction and has a high payload capacity for an edit-based model. It is also shown to be more secure against automatic detection than a generation-based method while offering better control of the security/payload capacity trade-off.

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Honai Ueoka, Yugo Murawaki, Sadao Kurohashi. 2021-04-20. Frustratingly Easy Edit-based Linguistic Steganography with a Masked Language Model. https://arxiv.org/abs/2104.09833

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