计算机应用与软件2025，Vol.42Issue(5)：381-386,6.DOI:10.3969/j.issn.1000-386x.2025.05.050
基于Transformer神经机器翻译的文本隐写方法
TEXT STEGANOGRAPHY METHOD BASED ON TRANSFORMER NEURAL MACHINE TRANSLATION
金家立 1马卫娇 2李晖 1金纾羽3
作者信息
- 1. 沈阳工业大学信息科学与工程学院 辽宁沈阳 110870
- 2. 广东东软学院计算机学院 广东佛山 528225
- 3. 北京猿力未来科技有限公司 北京 100102
- 折叠
摘要
Abstract
Aimed at the problems of poor translation quality and low hiding capacity of text steganography methods based on machine translation,a text steganography method based on Transformer neural machine translation is proposed.Through the use of advanced neural machine translation model and Beam Search decoder with hidden module,the corresponding BPE code could be output according to the secret information at each time step,and the secret information could be embedded in the process of translation.Experimental results show that this method can generate steganographic translation with high quality and large hidden capacity.Compared with previous methods,BLEU value and hiding capacity are improved by 4.84 and 1.63 percentage points,respectively.关键词
信息隐藏/文本隐写/机器翻译/TransformerKey words
Information hiding/Text steganography/Machine translation/Transformer分类
信息技术与安全科学引用本文复制引用
金家立,马卫娇,李晖,金纾羽..基于Transformer神经机器翻译的文本隐写方法[J].计算机应用与软件,2025,42(5):381-386,6.
