Image processing techniques to expose deep fake images
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AIP Publishing
Reference11 articles.
1. Agarwal, S., Girdhar, N., & Raghav, H. (2021). A Novel Neural Model based Framework for Detection of GAN Generated Fake Images. 2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence), 46–51.
2. Sahib, I., & AlAsady, T. A. A. (2022). Deep fake Image Detection based on Modified minimized Xception Net and DenseNet. 2022 5th International Conference on Engineering Technology and Its Applications (IICETA), 355–360.
3. Korkmaz, A., & Hanilçi, C. (2022). Image Forgery Detection Based On Parallel Convolutional Neural Networks. 2022 30th Signal Processing and Communications Applications Conference (SIU), 1–4.
4. He, P., Li, H., & Wang, H. (2019). Detection of Fake Images Via The Ensemble of Deep Representations from Multi Color Spaces. 2019 IEEE International Conference on Image Processing (ICIP), 2299–2303.
5. Wang, Y., Zarghami, V., & Cui, S. (2021). Fake Face Detection using Local Binary Pattern and Ensemble Modeling. 2021 IEEE International Conference on Image Processing (ICIP), 3917–3921.
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