96 citations · 355 across the 27 of their papers we have counts for
4 papers · 1 filter
A Convolutional LSTM based Residual Network for Deepfake Video Detection
Shahroz Tariq, Sangyup Lee, Simon S. Woo
In recent years, deep learning-based video manipulation methods have become widely accessible to masses. With little to no effort, people can easily learn how to generate deepfake…
T-GD: Transferable GAN-generated Images Detection Framework
Hyeonseong Jeon, Youngoh Bang, Junyaup Kim +1
Recent advancements in Generative Adversarial Networks (GANs) enable the generation of highly realistic images, raising concerns about their misuse for malicious purposes. Detectin…
Neural Network Laundering: Removing Black-Box Backdoor Watermarks from Deep Neural Networks
William Aiken, Hyoungshick Kim, Simon Woo
Creating a state-of-the-art deep-learning system requires vast amounts of data, expertise, and hardware, yet research into embedding copyright protection for neural networks has be…
FDFtNet: Facing Off Fake Images using Fake Detection Fine-tuning Network
Hyeonseong Jeon, Youngoh Bang, Simon S. Woo
Creating fake images and videos such as "Deepfake" has become much easier these days due to the advancement in Generative Adversarial Networks (GANs). Moreover, recent research suc…