71 citations · 153 across the 8 of their papers we have counts for
4 papers · 1 filter
One Man's Trash is Another Man's Treasure: Resisting Adversarial Examples by Adversarial Examples
Chang Xiao, Changxi Zheng
Modern image classification systems are often built on deep neural networks, which suffer from adversarial examples--images with deliberately crafted, imperceptible noise to mislea…
Enhancing Adversarial Defense by k-Winners-Take-All
Chang Xiao, Peilin Zhong, Changxi Zheng
We propose a simple change to existing neural network structures for better defending against gradient-based adversarial attacks. Instead of using popular activation functions (suc…
Mechanics-Aware Modeling of Cloth Appearance
Zahra Montazeri, Chang Xiao, Yun +3
Micro-appearance models have brought unprecedented fidelity and details to cloth rendering. Yet, these models neglect fabric mechanics: when a piece of cloth interacts with the env…
Rethinking Generative Mode Coverage: A Pointwise Guaranteed Approach
Peilin Zhong, Yuchen Mo, Chang Xiao +2
Many generative models have to combat . The conventional wisdom to this end is by reducing through training a statistical distance (such as -divergence)…