Robustness

Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness AAAI 2020 Robust and Heavy-Tailed Mean Estimation Made Simple, via Regret Minimization NeurIPS 2020 Robust Federated Learning via Collaborative Machine Teaching AAAI 2020 Robust Meta-learning for Mixed Linear Regression with Small Batches NeurIPS 2020 Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation AAAI 2020 Robustness of Bayesian Neural Networks to Gradient-Based Attacks NeurIPS 2020 Second-Order NLP Adversarial Examples EMNLP 2020 Self-Robust 3D Point Recognition via Gather-Vector Guidance CVPR 2020 Self-Supervised Learning for Generalizable Out-of-Distribution Detection AAAI 2020 Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples AAAI 2020 Single-Step Adversarial Training With Dropout Scheduling CVPR 2020 Stable Prediction with Model Misspecification and Agnostic Distribution Shift AAAI 2020 Supervised Discovery of Unknown Unknowns through Test Sample Mining (Student Abstract) AAAI 2020 Task-Robust Model-Agnostic Meta-Learning NeurIPS 2020 Towards Certificated Model Robustness Against Weight Perturbations AAAI 2020 Towards Debiasing NLU Models from Unknown Biases EMNLP 2020 Towards Robustifying NLI Models Against Lexical Dataset Biases ACL 2020 Towards Verifying Robustness of Neural Networks Against A Family of Semantic Perturbations CVPR 2020 What’s in a Name? Are BERT Named Entity Representations just as Good for any other Name? ACL 2020 Adaptive Hard Thresholding for Near-optimal Consistent Robust Regression COLT 2019 Adversarial Examples Are Not Bugs, They Are Features NeurIPS 2019 A Family of Robust Stochastic Operators for Reinforcement Learning NeurIPS 2019 A First-Order Algorithmic Framework for Distributionally Robust Logistic Regression NeurIPS 2019 Beyond Confidence Regions: Tight Bayesian Ambiguity Sets for Robust MDPs NeurIPS 2019 Certifiable Robustness to Graph Perturbations NeurIPS 2019