Latent Vector Optimization-Based Generative Image Steganography for Consumer Electronic Applications-Reference-Cited by-同舟云学术

Latent Vector Optimization-Based Generative Image Steganography for Consumer Electronic Applications

Author:

Zhou Zhili¹^ORCID,Bao Zhipeng²,Jiang Weiwei³^ORCID,Huang Yuan⁴,Peng Yun¹,Shankar Achyut⁵^ORCID,Maple Carsten⁶^ORCID,Selvarajan Shitharth⁷^ORCID

Affiliation:

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

2. School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China

3. School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China

4. Senior Engineer Artificial Intelligence R&D Center, CNNC Equipment Technology Development Company Ltd., Shanghai, China

5. Department of Cyber Systems Engineering, WMG, University of Warwick, Coventry, U.K.

6. Secure Cyber Systems Research Group, WMG, University of Warwick, Coventry, U.K.

7. School of Built Environment, Engineering and Computing, Leeds Beckett University, Leeds, U.K.

Funder

National Natural Science Foundation of China

Guangdong Natural Science Funds for Distinguished Young Scholar

Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET) Fund, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

Reference45 articles.

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