randomized smoothing

Curse of Dimensionality on Randomized Smoothing for Certifiable Robustness ICML 2020 Denoised Smoothing: A Provable Defense for Pretrained Classifiers NeurIPS 2020 (De)Randomized Smoothing for Certifiable Defense against Patch Attacks NeurIPS 2020 Detection as Regression: Certified Object Detection with Median Smoothing NeurIPS 2020 Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More ICML 2020 Higher-Order Certification For Randomized Smoothing NeurIPS 2020 Individual Fairness Revisited: Transferring Techniques from Adversarial Robustness IJCAI 2020 MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius ICLR 2020 Randomized Smoothing of All Shapes and Sizes ICML 2020 Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness AAAI 2020 Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation AAAI 2020 SAFER: A Structure-free Approach for Certified Robustness to Adversarial Word Substitutions ACL 2020 Wasserstein Smoothing: Certified Robustness against Wasserstein Adversarial Attacks AISTATS 2020 Certified Adversarial Robustness via Randomized Smoothing ICML 2019 Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers NeurIPS 2019 Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers NeurIPS 2019 Unlabeled Data Improves Adversarial Robustness NeurIPS 2019 Optimal Algorithms for Non-Smooth Distributed Optimization in Networks NeurIPS 2018