Characterizing Data Point Vulnerability via Average-Case Robustness, UAI 2024
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Updated
May 7, 2024 - Python
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.
[SRML@ICLR 2022] Robust and Accurate -- Compositional Architectures for Randomized Smoothing
[NeurIPS 2022] (De-)Randomized Smoothing for Decision Stump Ensembles
[ICLR 2022] Boosting Randomized Smoothing with Variance Reduced Classifiers
How Robust are Randomized Smoothing based Defenses to Data Poisoning? (CVPR 2021)
Code for the paper "Multi-scale Diffusion Denoised Smoothing" (NeurIPS 2023)
Minimal implementation of Denoised Smoothing (https://arxiv.org/abs/2003.01908) in TensorFlow.
Code for the paper "SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness" (NeurIPS 2021)
Code for the paper "Consistency Regularization for Certified Robustness of Smoothed Classifiers" (NeurIPS 2020)
Randomized Smoothing of All Shapes and Sizes (ICML 2020).
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