arXiv Open Access 2024

Zero-shot Generative Linguistic Steganography

Ke Lin Yiyang Luo Zijian Zhang Ping Luo

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Abstrak

Generative linguistic steganography attempts to hide secret messages into covertext. Previous studies have generally focused on the statistical differences between the covertext and stegotext, however, ill-formed stegotext can readily be identified by humans. In this paper, we propose a novel zero-shot approach based on in-context learning for linguistic steganography to achieve better perceptual and statistical imperceptibility. We also design several new metrics and reproducible language evaluations to measure the imperceptibility of the stegotext. Our experimental results indicate that our method produces $1.926\times$ more innocent and intelligible stegotext than any other method.

Topik & Kata Kunci

cs.CL cs.CR

Penulis (4)

Ke Lin

Yiyang Luo

Zijian Zhang

Ping Luo

Format Sitasi

APA MLA BibTeX

Lin, K., Luo, Y., Zhang, Z., Luo, P. (2024). Zero-shot Generative Linguistic Steganography. https://arxiv.org/abs/2403.10856

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Informasi Jurnal

Tahun Terbit: 2024
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓