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

[ICML 24] S-DQN and S-PPO: Robust smoothed deep RL agents without sacrificing performance

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

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

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

Randomized smoothing as an adversarial defense for inverse problems, applied to super-resolution, and compared to adversarial training.

No description provided.

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

Certified adversarial robustness via randomized smoothing with contrastive self-supervised pretraining

Self-supervised pretraining for certified robustness via randomized smoothing — built on OpenMMLab mmpretrain