Randomized Smoothing of All Shapes and Sizes (ICML 2020).

Code for the paper "Consistency Regularization for Certified Robustness of Smoothed Classifiers" (NeurIPS 2020)

Code for the paper "SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness" (NeurIPS 2021)

Minimal implementation of Denoised Smoothing (https://arxiv.org/abs/2003.01908) in TensorFlow.

Code for the paper "Multi-scale Diffusion Denoised Smoothing" (NeurIPS 2023)

How Robust are Randomized Smoothing based Defenses to Data Poisoning? (CVPR 2021)

[ICLR 2022] Boosting Randomized Smoothing with Variance Reduced Classifiers

[NeurIPS 2022] (De-)Randomized Smoothing for Decision Stump Ensembles

[SRML@ICLR 2022] Robust and Accurate -- Compositional Architectures for Randomized Smoothing

Characterizing Data Point Vulnerability via Average-Case Robustness, UAI 2024

Official code repository for the paper "A Study of the Effects of Transfer Learning on Adversarial Robustness". TMLR 2024.