4 citations · 9 across the 5 of their papers we have counts for
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cs.LG2020
Fast Training of Deep Neural Networks Robust to Adversarial Perturbations
Justin Goodwin, Olivia Brown, Victoria Helus
Deep neural networks are capable of training fast and generalizing well within many domains. Despite their promising performance, deep networks have shown sensitivities to perturba…
cs.LG2020★ 4 cited
Safe Predictors for Enforcing Input-Output Specifications
Stephen Mell, Olivia Brown, Justin Goodwin +1
We present an approach for designing correct-by-construction neural networks (and other machine learning models) that are guaranteed to be consistent with a collection of input-out…