Estimating the Robustness Radius for Randomized Smoothing with 100$\times$ Sample Efficiency

Emmanouil Seferis, Stefanos Kollias, Chih-Hong Cheng

Randomized smoothing (RS) has successfully been used to improve the robustness of predictions for deep neural networks (DNNs) by adding random noise to create multiple variations o…