10 citations · 18 across the 7 of their papers we have counts for
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eess.IV2020★ 4 cited
Adversarial Attacks on Co-Occurrence Features for GAN Detection
Michael Goebel, B. S. Manjunath
Improvements in Generative Adversarial Networks (GANs) have greatly reduced the difficulty of producing new, photo-realistic images with unique semantic meaning. With this rise in…
eess.IV2020★ 10 cited
Detection, Attribution and Localization of GAN Generated Images
Michael Goebel, Lakshmanan Nataraj, Tejaswi Nanjundaswamy +3
Recent advances in Generative Adversarial Networks (GANs) have led to the creation of realistic-looking digital images that pose a major challenge to their detection by humans or c…