CSC-Net: Cross-Color Spatial Co-Occurrence Matrix Network for Detecting Synthesized Fake Images

Author:

Qiao Tong1ORCID,Chen Yuxing1,Zhou Xiaofei2ORCID,Shi Ran3ORCID,Shao Hang1ORCID,Shen Kunye2ORCID,Luo Xiangyang4ORCID

Affiliation:

1. School of Cyberspace, Hangzhou Dianzi University, Hangzhou, China

2. School of Automation, Hangzhou Dianzi University, Hangzhou, China

3. School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China

4. State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou Institute of Technology, Zhengzhou, China

Funder

Zhejiang Provincial Natural Science Foundation of China

Fundamental Research Funds for the Provincial Universities of Zhejiang

Open Projects Program of National Laboratory of Pattern Recognition

Open Foundation of Henan Key Laboratory of Cyberspace Situation Awareness

National Key Research and Development Program of China

National Natural Science Foundation of China

Zhongyuan Science and Technology Innovation Leading Talent Project of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Software

Cited by 7 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. Did You Note My Palette? Unveiling Synthetic Images Through Color Statistics;Proceedings of the 2024 ACM Workshop on Information Hiding and Multimedia Security;2024-06-24

2. Robust Adversarial Watermark Defending Against GAN Synthesization Attack;IEEE Signal Processing Letters;2024

3. GAN and DM Generated Synthetic Image Detection in the Age of Misinformation;Lecture Notes in Computer Science;2024

4. Deepfake Detection Fighting Against Noisy Label Attack;IEEE Transactions on Multimedia;2024

5. Leveraging Image Gradients for Robust GAN-Generated Image Detection in OSN context;2023 IEEE International Conference on Visual Communications and Image Processing (VCIP);2023-12-04

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