SCF-Stega: Controllable Linguistic Steganography Based on Semantic Communications Framework

Yilin Long; Zhongliang Yang; Zhuang Wang; Zhili Zhou; Yongfeng Huang; Linna Zhou

ICASSP 2025accepted0 citations

SCF-Stega: Controllable Linguistic Steganography Based on Semantic Communications Framework

Yilin Long, Zhongliang Yang, Zhuang Wang, Zhili Zhou, Yongfeng Huang, Linna Zhou

Abstract

Linguistic steganography is a key information hiding technique but faces challenges like abrupt content shifts, detection risks, and high training resource demands. To address these, this paper introduces SCF-Stega, a controllable method based on Semantic Communications Framework. By using a knowledge graph to guide secret encoding and dynamically adjusting large language model outputs, SCF-Stega enhances text imperceptibility and semantic coherence. Experiments show improved text quality and strong resistance to steganalysis, without needing additional training data.

BibTeX

@inproceedings{icassp2025_scfstegacontroll,
  title = {SCF-Stega: Controllable Linguistic Steganography Based on Semantic Communications Framework},
  author = {Yilin Long and Zhongliang Yang and Zhuang Wang and Zhili Zhou and Yongfeng Huang and Linna Zhou},
  booktitle = {ICASSP 2025},
  year = {2025}
}