Abstract | ||
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The ever higher quality and wide diffusion of fake images have spawn a quest for reliable forensic tools. Many GAN image detectors have been proposed, recently. In real world scenarios, however, most of them show limited robustness and generalization ability. Moreover, they often rely on side information not available at test time, that is, they are not universal. We investigate these problems and... |
Year | DOI | Venue |
---|---|---|
2021 | 10.1109/VCIP53242.2021.9675329 | 2021 International Conference on Visual Communications and Image Processing (VCIP) |
Keywords | DocType | ISSN |
Training,Image coding,Visual communication,Forensics,Detectors,Robustness | Conference | 2642-9357 |
ISBN | Citations | PageRank |
978-1-7281-8551-4 | 2 | 0.37 |
References | Authors | |
0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Davide Cozzolino | 1 | 2 | 0.37 |
Diego Gragnaniello | 2 | 2 | 0.37 |
Giovanni Poggi | 3 | 2 | 0.37 |
Luisa Verdoliva | 4 | 971 | 57.12 |