Linguistic Steganalysis via Fusing Multi-Granularity Attentional Text Features
Author:
Affiliation:
1. College of Information and Electrical Engineering, China Agricultural University,Beijing,China,100094
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/9970761/10038784/10038789.pdf?arnumber=10038789
Reference42 articles.
1. TS-RNN: Text Steganalysis Based on Recurrent Neural Networks
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4. Steganalysis against substitution-based linguistic steganography based on context clusters
5. Linguistic Steganalysis via Densely Connected LSTM with Feature Pyramid
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