robustness certification

COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks ICLR 2022 CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing ICLR 2022 (De-)Randomized Smoothing for Decision Stump Ensembles NeurIPS 2022 Double Sampling Randomized Smoothing ICML 2022 GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing ICML 2022 Input-Specific Robustness Certification for Randomized Smoothing AAAI 2022 Invariance-Aware Randomized Smoothing Certificates NeurIPS 2022 On Collective Robustness of Bagging Against Data Poisoning ICML 2022 Robustness Certification of Visual Perception Models via Camera Motion Smoothing CoRL 2022 Tight Neural Network Verification via Semidefinite Relaxations and Linear Reformulations AAAI 2022 Adversarial Robustness with Non-uniform Perturbations NeurIPS 2021 Certifying Robustness to Programmable Data Bias in Decision Trees NeurIPS 2021 CRFL: Certifiably Robust Federated Learning against Backdoor Attacks ICML 2021 Efficient Certification of Spatial Robustness AAAI 2021 Improved, Deterministic Smoothing for L_1 Certified Robustness ICML 2021 Robustness Certification for Point Cloud Models ICCV 2021 Semialgebraic Representation of Monotone Deep Equilibrium Models and Applications to Certification NeurIPS 2021 A FRAMEWORK FOR ROBUSTNESS CERTIFICATION OF SMOOTHED CLASSIFIERS USING F-DIVERGENCES ICLR 2020 Fast Adversarial Robustness Certification of Nearest Prototype Classifiers for Arbitrary Seminorms NeurIPS 2020 Provably Robust Metric Learning NeurIPS 2020 Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness AAAI 2020 Semialgebraic Optimization for Lipschitz Constants of ReLU Networks NeurIPS 2020 Towards Certificated Model Robustness Against Weight Perturbations AAAI 2020 Boosting Robustness Certification of Neural Networks ICLR 2019 Defending against Whitebox Adversarial Attacks via Randomized Discretization AISTATS 2019