| Autor: |
K. R. Vidya, M. Wilscy, K. Remya Revi |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
Transactions on Computational Science and Computational Intelligence ISBN: 9783030494995 |
| DOI: |
10.1007/978-3-030-49500-8_3 |
| Popis: |
In every single day, a large number of digital images are uploading on Internet, but the authenticity of these images is uncertain. The propagation of the fake images via Internet may cause unwanted political and social unrest. So it is very essential to validate the genuineness of the digital images. Conventionally images are manipulated by copy move or image splicing operations and there are effective forgery detection methods based on machine learning techniques are available for identifying these types of image forgeries. Recently, a new kind of fake images called deepfake images are generated using generative adversarial networks (GANs). These deepfake images are more dangerous due to its realistic appearances. So in this paper, we review various methods to detect deepfake images generated by GANs. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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