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Autoencoder with recurrent neural networks for video forgery detection.

, , , and . Media Watermarking, Security, and Forensics, page 92-99. Society for Imaging Science and Technology, (2017)

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Intriguing properties of synthetic images: from generative adversarial networks to diffusion models., , , , and . CVPR Workshops, page 973-982. IEEE, (2023)FaceForensics++: Learning to Detect Manipulated Facial Images., , , , , and . ICCV, page 1-11. IEEE, (2019)CNN-based pansharpening of multi-resolution remote-sensing images., , , and . JURSE, page 1-4. IEEE, (2017)Guided filtering for PRNU-based localization of small-size image forgeries., , , , and . ICASSP, page 6231-6235. IEEE, (2014)Towards Universal GAN Image Detection., , , and . VCIP, page 1-5. IEEE, (2021)Detection of GAN-Generated Fake Images over Social Networks., , , and . MIPR, page 384-389. IEEE, (2018)Self-organizing maps for the design of multiple description vector quantizers., , and . Neurocomputing, (2013)Target-adaptive CNN-based pansharpening., , and . CoRR, (2017)Multiple Classifier Systems for Image Forgery Detection., , , and . ICIAP (2), volume 8157 of Lecture Notes in Computer Science, page 259-268. Springer, (2013)A Comparative Analysis of Forgery Detection Algorithms., , , and . SSPR/SPR, volume 7626 of Lecture Notes in Computer Science, page 693-700. Springer, (2012)