9 citations · 27 across the 11 of their papers we have counts for
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cs.CV2021★ 6 cited
DA-FDFtNet: Dual Attention Fake Detection Fine-tuning Network to Detect Various AI-Generated Fake Images
Young Oh Bang, Simon S. Woo
Due to the advancement of Generative Adversarial Networks (GAN), Autoencoders, and other AI technologies, it has been much easier to create fake images such as "Deepfakes". More re…
cs.CV2021★ 4 cited
Exploring the Asynchronous of the Frequency Spectra of GAN-generated Facial Images
Binh M. Le, Simon S. Woo
The rapid progression of Generative Adversarial Networks (GANs) has raised a concern of their misuse for malicious purposes, especially in creating fake face images. Although many…
cs.CV2021★ 9 cited
ADD: Frequency Attention and Multi-View based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images
Binh M. Le, Simon S. Woo
Despite significant advancements of deep learning-based forgery detectors for distinguishing manipulated deepfake images, most detection approaches suffer from moderate to signific…