Robustness

ONION: A Simple and Effective Defense Against Textual Backdoor Attacks EMNLP 2021 Outlier Impact Characterization for Time Series Data AAAI 2021 Outlier-Robust Learning of Ising Models Under Dobrushin’s Condition COLT 2021 Probabilistic Margins for Instance Reweighting in Adversarial Training NeurIPS 2021 Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery NeurIPS 2021 Regularizing Attention Networks for Anomaly Detection in Visual Question Answering AAAI 2021 Reliability Testing for Natural Language Processing Systems ACL 2021 ReLU Regression with Massart Noise NeurIPS 2021 Robust Bandit Learning with Imperfect Context AAAI 2021 Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch NeurIPS 2021 Robust Learning of Optimal Auctions NeurIPS 2021 Robustness and Adversarial Examples in Natural Language Processing EMNLP 2021 Robustness and Sensitivity of BERT Models Predicting Alzheimer’s Disease from Text EMNLP 2021 Robust Regression for Monocular Depth Estimation ACML 2021 RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Models EMNLP 2021 Role of Optimizer on Network Fine-tuning for Adversarial Robustness (Student Abstract) AAAI 2021 Scaling-Up Robust Gradient Descent Techniques AAAI 2021 Secoco: Self-Correcting Encoding for Neural Machine Translation EMNLP 2021 Self-Progressing Robust Training AAAI 2021 Semantics Altering Modifications for Evaluating Comprehension in Machine Reading AAAI 2021 Shortcutted Commonsense: Data Spuriousness in Deep Learning of Commonsense Reasoning EMNLP 2021 Simpler Certified Radius Maximization by Propagating Covariances CVPR 2021 Sorting through the noise: Testing robustness of information processing in pre-trained language models EMNLP 2021 Stable Adversarial Learning under Distributional Shifts AAAI 2021 Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks NeurIPS 2021