Neural Linguistic Steganography via Self-Adjusting Arithmetic Coding in EMNLP 2020
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Updated
Oct 1, 2020 - Python
Neural Linguistic Steganography via Self-Adjusting Arithmetic Coding in EMNLP 2020
本库存放基于深度学习的压缩语音隐写信息检测模型。与 RNN‑SM、CSW、SFFN 相比,该方法可更有效地检测与捕获压缩语音中的隐藏信息,并支持隐藏检测分类。(This repository stores a deep learning based detection model for compressed speech steganography. Compared with RNN-SM, CSW and SFFN, this method can more effectively detect and capture hidden information in compressed speech and support steganalysis classification.)
Python implementation of Least-Significant-Bit steganography methodology
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