Adaptive Domain-Invariant Feature Extraction for Cross-Domain Linguistic Steganalysis-Reference-Cited by-同舟云学术

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Adaptive Domain-Invariant Feature Extraction for Cross-Domain Linguistic Steganalysis

Published:2024 Issue: Volume:19 Page:920-933
ISSN:1556-6013
Container-title:IEEE Transactions on Information Forensics and Security
language:
Short-container-title:IEEE Trans.Inform.Forensic Secur.

Author:

Xue Yiming¹^ORCID,Wu Jiaxuan¹^ORCID,Ji Ronghua¹,Zhong Ping²^ORCID,Wen Juan¹^ORCID,Peng Wanli³^ORCID

Affiliation:

1. College of Information and Electrical Engineering, China Agricultural University, Beijing, China

2. College of Information and Electrical Engineering and the College of Science, China Agricultural University, Beijing, China

3. School of Computer Science, Fudan University, Shanghai, China

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality

Link

http://xplorestaging.ieee.org/ielx7/10206/10319981/10299660.pdf?arnumber=10299660

Reference43 articles.

1. TS-RNN: Text Steganalysis Based on Recurrent Neural Networks

2. Kullback-Leibler Divergence

3. Convolutional Neural Network Based Text Steganalysis

4. HoMM: Higher-Order Moment Matching for Unsupervised Domain Adaptation

5. Real-Time Text Steganalysis Based on Multi-Stage Transfer Learning

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Test-Time Entropy Minimization Method for Cross-Domain Linguistic Steganalysis;IEEE Signal Processing Letters;2024

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