45 citations · 54 across the 5 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
cs.LG2019★ 8 cited
Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses
Xiao Wang, Siyue Wang, Pin-Yu Chen +4
Despite achieving remarkable success in various domains, recent studies have uncovered the vulnerability of deep neural networks to adversarial perturbations, creating concerns on…
cs.LG2019
NodeDrop: A Condition for Reducing Network Size without Effect on Output
Louis Jensen, Jacob Harer, Sang Chin
Determining an appropriate number of features for each layer in a neural network is an important and difficult task. This task is especially important in applications on systems wi…