certified robustness

Certifiably Adversarially Robust Detection of Out-of-Distribution Data NeurIPS 2020 Certified Defense to Image Transformations via Randomized Smoothing NeurIPS 2020 Certified Robustness for Top-k Predictions against Adversarial Perturbations via Randomized Smoothing ICLR 2020 Certified Robustness of Graph Convolution Networks for Graph Classification under Topological Attacks NeurIPS 2020 Certified Robustness to Label-Flipping Attacks via Randomized Smoothing ICML 2020 Certifying Confidence via Randomized Smoothing NeurIPS 2020 Consistency Regularization for Certified Robustness of Smoothed 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 Randomized Smoothing of All Shapes and Sizes ICML 2020 Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness AAAI 2020 SAFER: A Structure-free Approach for Certified Robustness to Adversarial Word Substitutions ACL 2020 Scalable Differential Privacy with Certified Robustness in Adversarial Learning ICML 2020 Second-Order Provable Defenses against Adversarial Attacks ICML 2020 Towards Certificated Model Robustness Against Weight Perturbations AAAI 2020 Universal Approximation with Certified Networks ICLR 2020 Wasserstein Smoothing: Certified Robustness against Wasserstein Adversarial Attacks AISTATS 2020 Certified Adversarial Robustness via Randomized Smoothing ICML 2019 Certified Robustness to Adversarial Word Substitutions EMNLP 2019 Cost-Sensitive Robustness against Adversarial Examples ICLR 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 Towards Fast Computation of Certified Robustness for ReLU Networks ICML 2018