LLsM: Generative Linguistic Steganography with Large Language Model

Y Wang, R Song, R Zhang, J Liu, L Li - arXiv preprint arXiv:2401.15656, 2024 - arxiv.org
Linguistic Steganography (LS) tasks aim to generate steganographic texts (stego) based on
secret information. Only authorized recipients can perceive the existence of secret …

A character based steganography using masked language modeling

E Öztürk, AŞ Mesut, ÖA Fıdan - IEEE Access, 2024 - ieeexplore.ieee.org
In this study, a steganography method based on BERT transformer model is proposed for
hiding text data in cover text. The aim is to hide information by replacing specific words …

A novel method for linguistic steganography by English translation using attention mechanism and probability distribution theory

YQ Lin, ZH Wang - Plos one, 2024 - journals.plos.org
To enhance our ability to model long-range semantical dependencies, we introduce a novel
approach for linguistic steganography through English translation. This method leverages …

Co-Stega: Collaborative Linguistic Steganography for the Low Capacity Challenge in Social Media

G Liao, J Yang, K Pang, Y Huang - … of the 2024 ACM Workshop on …, 2024 - dl.acm.org
Social media platforms, with their extensive and real-time text data, are important application
environments for linguistic generative steganography. However, the fragmented and context …