Image splicing forgery detection by combining synthetic adversarial networks and hybrid dense U‐net based on multiple spaces-Reference-Cited by-同舟云学术

Image splicing forgery detection by combining synthetic adversarial networks and hybrid dense U‐net based on multiple spaces

Published:2022-06-14 Issue:11 Volume:37 Page:8291-8308
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J of Intelligent Sys

Author:

Wei Yang¹^ORCID,Ma Jianfeng¹,Wang Zhuzhu¹,Xiao Bin²,Zheng Wenying³

Affiliation:

1. Shaanxi Key Laboratory of Network and System Security, School of Cyber Engineering Xidian University Xi'an China

2. School of Computer Science and Technology Chongqing University of Posts and Telecommunication Chongqing China

3. College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing China

Publisher

Hindawi Limited

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22939

Reference65 articles.

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4. ShenJ GuiZ ChenX ZhangJ XiangY.Lightweight and certificateless multi‐receiver secure data transmission protocol for wireless body area networks.IEEE Trans Dependable Secure Comput.2020.

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