204 citations · 438 across the 21 of their papers we have counts for
4 papers · 1 filter
CAP-GAN: Towards Adversarial Robustness with Cycle-consistent Attentional Purification
Mingu Kang, Trung Quang Tran, Seungju Cho +1
Adversarial attack is aimed at fooling the target classifier with imperceptible perturbation. Adversarial examples, which are carefully crafted with a malicious purpose, can lead t…
Explaining How Deep Neural Networks Forget by Deep Visualization
Giang Nguyen, Shuan Chen, Tae Joon Jun +1
Explaining the behaviors of deep neural networks, usually considered as black boxes, is critical especially when they are now being adopted over diverse aspects of human life. Taki…
Unbalanced GANs: Pre-training the Generator of Generative Adversarial Network using Variational Autoencoder
Hyungrok Ham, Tae Joon Jun, Daeyoung Kim
We propose Unbalanced GANs, which pre-trains the generator of the generative adversarial network (GAN) using variational autoencoder (VAE). We guarantee the stable training of the…
Dissecting Catastrophic Forgetting in Continual Learning by Deep Visualization
Giang Nguyen, Shuan Chen, Thao Do +3
Interpreting the behaviors of Deep Neural Networks (usually considered as a black box) is critical especially when they are now being widely adopted over diverse aspects of human l…