Improved, Deterministic Smoothing for L1 Certified Robustness

Alexander Levine, Soheil Feizi

Abstract: Randomized smoothing is a general technique for computing sample-dependent robustness guarantees against adversarial attacks for deep classifiers. Prior works on randomized smoothing against L_1 ad...