5 citations · 9 across the 6 of their papers we have counts for
4 papers · 1 filter
Defending against substitute model black box adversarial attacks with the 01 loss
Yunzhe Xue, Meiyan Xie, Usman Roshan
Substitute model black box attacks can create adversarial examples for a target model just by accessing its output labels. This poses a major challenge to machine learning models i…
Towards adversarial robustness with 01 loss neural networks
Yunzhe Xue, Meiyan Xie, Usman Roshan
Motivated by the general robustness properties of the 01 loss we propose a single hidden layer 01 loss neural network trained with stochastic coordinate descent as a defense agains…
On the transferability of adversarial examples between convex and 01 loss models
Yunzhe Xue, Meiyan Xie, Usman Roshan
The 01 loss gives different and more accurate boundaries than convex loss models in the presence of outliers. Could the difference of boundaries translate to adversarial examples t…
Robust binary classification with the 01 loss
Yunzhe Xue, Meiyan Xie, Usman Roshan
The 01 loss is robust to outliers and tolerant to noisy data compared to convex loss functions. We conjecture that the 01 loss may also be more robust to adversarial attacks. To st…