CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)
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Updated
Aug 5, 2021 - Python
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)
Robustify Black-Box Models (ICLR'22 - Spotlight)
[NeurIPS 2021] Fast Certified Robust Training with Short Warmup
[ICLR 2022] Training L_inf-dist-net with faster acceleration and better training strategies
Keeps track of popular provable training and verification approaches towards robust neural networks, including leaderboards on popular datasets
Official implementation of the paper "PromptSmooth: Certifying Robustness of Medical Vision-Language Models via Prompt Learning"
[ICLR 2022] Boosting Randomized Smoothing with Variance Reduced Classifiers
Implementation of Boosting Certified $\ell_\infty$-dist Robustness with EMA Method and Ensemble Model
[NeurIPS 2022] (De-)Randomized Smoothing for Decision Stump Ensembles
[SRML@ICLR 2022] Robust and Accurate -- Compositional Architectures for Randomized Smoothing
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