Natalie S. Frank

Higher-Order Certified Robustness for Regression

This work derives a prediction-centered certificate that guarantees the stability of the smoothed model's prediction and ensures practical computability at test time and demonstrates on the MNIST rotation task that utilizing gradient information yields significantly tighter robustness certificates compared to the current state-of-the-art, alpha-smoothing.