163 citations · 256 across the 13 of their papers we have counts for
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cs.LG2021★ 3 cited
Policy Smoothing for Provably Robust Reinforcement Learning
Aounon Kumar, Alexander Levine, Soheil Feizi
The study of provable adversarial robustness for deep neural networks (DNNs) has mainly focused on static supervised learning tasks such as image classification. However, DNNs have…
cs.LG2021★ 3 cited
Center Smoothing: Certified Robustness for Networks with Structured Outputs
Aounon Kumar, Tom Goldstein
The study of provable adversarial robustness has mostly been limited to classification tasks and models with one-dimensional real-valued outputs. We extend the scope of certifiable…