Randomized Smoothing of All Shapes and Sizes (ICML 2020).
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Updated
Jul 23, 2020 - Jupyter Notebook
Randomized Smoothing of All Shapes and Sizes (ICML 2020).
Code for the paper "Consistency Regularization for Certified Robustness of Smoothed Classifiers" (NeurIPS 2020)
How Robust are Randomized Smoothing based Defenses to Data Poisoning? (CVPR 2021)
Minimal implementation of Denoised Smoothing (https://arxiv.org/abs/2003.01908) in TensorFlow.
[ICLR 2022] Boosting Randomized Smoothing with Variance Reduced Classifiers
[SRML@ICLR 2022] Robust and Accurate -- Compositional Architectures for Randomized Smoothing
Code for the paper "SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness" (NeurIPS 2021)
[NeurIPS 2022] (De-)Randomized Smoothing for Decision Stump Ensembles
Code for the paper "Multi-scale Diffusion Denoised Smoothing" (NeurIPS 2023)
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.
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