A New Adversarial Embedding Method for Enhancing Image Steganography-Reference-Cited by-同舟云学术

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A New Adversarial Embedding Method for Enhancing Image Steganography

Published:2021 Issue: Volume:16 Page:4621-4634
ISSN:1556-6013
Container-title:IEEE Transactions on Information Forensics and Security
language:
Short-container-title:IEEE Trans.Inform.Forensic Secur.

Author:

Liu Minglin^ORCID,Luo Weiqi^ORCID,Zheng Peijia^ORCID,Huang Jiwu^ORCID

Funder

Key-Area Research and Development Program of Guangdong Province

National Science Foundation of China

Natural Science Foundation of Guangdong

Shenzhen Research and Development Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/10206/9151439/09535158.pdf?arnumber=9535158

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2. Image steganography approaches and their detection strategies: a survey;ACM Computing Surveys;2024-09-10

3. Improving image steganography security via ensemble steganalysis and adversarial perturbation minimization;Journal of Information Security and Applications;2024-09

4. DCANet: CNN model with dual-path network and improved coordinate attention for JPEG steganalysis;Multimedia Systems;2024-08

5. MultiPhased Technique for Enhancing Security in Data Center Environment;2024 International Conference on Computational Intelligence and Computing Applications (ICCICA);2024-05-23

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