Towards Universal GAN Image Detection

Author:

Cozzolino Davide1,Gragnaniello Diego1,Poggi Giovanni1,Verdoliva Luisa1

Affiliation:

1. University Federico II of Naples,Italy

Publisher

IEEE

Reference31 articles.

Cited by 11 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. Sequential Training of GANs Against GAN-Classifiers Reveals Correlated “Knowledge Gaps” Present Among Independently Trained GAN Instances;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

2. Universal Detection and Source Attribution of Diffusion Model Generated Images with High Generalization and Robustness;Lecture Notes in Computer Science;2023

3. STN-Net: A Robust GAN-Generated Face Detector;Information Systems Security;2023

4. DepthFake: A Depth-Based Strategy for Detecting Deepfake Videos;Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges;2023

5. Fusing Global and Local Features for Generalized AI-Synthesized Image Detection;2022 IEEE International Conference on Image Processing (ICIP);2022-10-16

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