• Utilizing network features to detect erroneous inputs 

        Author(s):Gorbett, Matthew
        Date Issued:2020
        Format:born digital; masters theses
        Neural networks are vulnerable to a wide range of erroneous inputs such as corrupted, out-of-distribution, misclassified, and adversarial examples. Previously, separate solutions have been proposed for each of these faulty ...