Utilizing Network Properties to Detect Erroneous Inputs

Matt Gorbett, Nathaniel Blanchard

Neural networks are vulnerable to a wide range of erroneous inputs such as adversarial, corrupted, out-of-distribution, and misclassified examples. In this work, we train a linear…