3 citations · 4 across the 2 of their papers we have counts for
3 papers
cs.CL2020★ 1 cited
Pointwise Paraphrase Appraisal is Potentially Problematic
Hannah Chen, Yangfeng Ji, David Evans
The prevailing approach for training and evaluating paraphrase identification models is constructed as a binary classification problem: the model is given a pair of sentences, and…
cs.LG2020★ 3 cited
Certifying Joint Adversarial Robustness for Model Ensembles
Mainuddin Ahmad Jonas, David Evans
Deep Neural Networks (DNNs) are often vulnerable to adversarial examples.Several proposed defenses deploy an ensemble of models with the hope that, although the individual models m…
cs.LG2020
Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization
Sicheng Zhu, Xiao Zhang, David Evans
Training machine learning models that are robust against adversarial inputs poses seemingly insurmountable challenges. To better understand adversarial robustness, we consider the…