Recurrent Convolutional Neural Networks for AMR Steganalysis Based on Pulse Position

Author:

Gong Chen1,Yi Xiaowei1,Zhao Xianfeng1,Ma Yi2

Affiliation:

1. Institute of Information Engineering, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China

2. Beijing Information Technology Institute, Beijing, China

Funder

Project of Beijing Municipal Science & Technology Commission

NSFC

National Key Technology R&D Program

Publisher

ACM

Cited by 12 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. Deep learning for steganalysis of diverse data types: A review of methods, taxonomy, challenges and future directions;Neurocomputing;2024-05

2. MFPD-LSTM: A steganalysis method based on multiple features of pitch delay using RNN-LSTM;Journal of Information Security and Applications;2023-05

3. Separable Convolution Network With Dual-Stream Pyramid Enhanced Strategy for Speech Steganalysis;IEEE Transactions on Information Forensics and Security;2023

4. A Novel Global-Local Representations Network for Speech Steganalysis;Proceedings of the 2022 5th International Conference on Artificial Intelligence and Pattern Recognition;2022-09-23

5. Detecting Multiple Steganography Methods in Speech Streams Using Multi-Encoder Network;IEEE Signal Processing Letters;2022

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