10 citations · 15 across the 3 of their papers we have counts for
4 papers
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…
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…
Predicting Fluid Intelligence of Children using T1-weighted MR Images and a StackNet
Po-Yu Kao, Angela Zhang, Michael Goebel +2
In this work, we utilize T1-weighted MR images and StackNet to predict fluid intelligence in adolescents. Our framework includes feature extraction, feature normalization, feature…
Deep Learning Methods for Event Verification and Image Repurposing Detection
M. Goebel, A. Flenner, L. Nataraj +1
The authenticity of images posted on social media is an issue of growing concern. Many algorithms have been developed to detect manipulated images, but few have investigated the ab…