Joint Cost Learning and Payload Allocation With Image-Wise Attention for Batch Steganography-Reference-Cited by-同舟云学术

Joint Cost Learning and Payload Allocation With Image-Wise Attention for Batch Steganography

Published:2024 Issue: Volume:19 Page:2826-2839
ISSN:1556-6013
Container-title:IEEE Transactions on Information Forensics and Security
language:
Short-container-title:IEEE Trans.Inform.Forensic Secur.

Author:

Tang Weixuan¹^ORCID,Zhou Zhili¹^ORCID,Li Bin²^ORCID,Choo Kim-Kwang Raymond³^ORCID,Huang Jiwu²^ORCID

Affiliation:

1. Institute of Artificial Intelligence, Guangzhou University, Guangdong, China

2. Guangdong Key Laboratory of Intelligent Information Processing, and the Shenzhen Key Laboratory of Media Security, Shenzhen University, Shenzhen, China

3. Department of Information Systems and Cyber Security, The University of Texas at San Antonio, San Antonio, TX, USA

Funder

NSFC

Basic and Applied Basic Research Foundation of Guangdong Province

Guangdong Natural Science Funds for Distinguished Young Scholar

Science and Technology Foundation of Guangzhou

Cloud Technology Endowed Professorship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/10206/10319981/10400508.pdf?arnumber=10400508

Reference48 articles.

1. Minimizing the embedding impact in steganography

2. Designing steganographic distortion using directional filters

3. Universal distortion function for steganography in an arbitrary domain

4. A new cost function for spatial image steganography

5. Multivariate gaussian model for designing additive distortion for steganography

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1. Natias: Neuron Attribution-Based Transferable Image Adversarial Steganography;IEEE Transactions on Information Forensics and Security;2024

2. A Steganography Immunoprocessing Framework Against CNN-Based and Handcrafted Steganalysis;IEEE Transactions on Information Forensics and Security;2024