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Robustness

576 papers

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Papers

FLVoogd: Robust And Privacy Preserving Federated Learning ACML 2022 Formulating Robustness Against Unforeseen Attacks NeurIPS 2022 Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attack NeurIPS 2022 Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness ACL 2022 Goal Misgeneralization in Deep Reinforcement Learning ICML 2022 Gradient Methods Provably Converge to Non-Robust Networks NeurIPS 2022 Hard ImageNet: Segmentations for Objects with Strong Spurious Cues NeurIPS 2022 How Sampling Impacts the Robustness of Stochastic Neural Networks NeurIPS 2022 Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100 ICLR 2022 Improved Gradient-Based Adversarial Attacks for Quantized Networks AAAI 2022 Improved Multi-label Classification under Temporal Concept Drift: Rethinking Group-Robust Algorithms in a Label-Wise Setting ACL 2022 Improving Certified Robustness via Statistical Learning with Logical Reasoning NeurIPS 2022 Improving the Adversarial Robustness of NLP Models by Information Bottleneck ACL 2022 Increasing Confidence in Adversarial Robustness Evaluations NeurIPS 2022 Input-Specific Robustness Certification for Randomized Smoothing AAAI 2022 Interpreting the Robustness of Neural NLP Models to Textual Perturbations ACL 2022 Invariance-Aware Randomized Smoothing Certificates NeurIPS 2022 Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers EMNLP 2022 Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings ACL 2022 Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in Text Classification ACL 2022 KATG: Keyword-Bias-Aware Adversarial Text Generation for Text Classification AAAI 2022 Language Invariant Properties in Natural Language Processing ACL 2022 Learning a Single Neuron with Adversarial Label Noise via Gradient Descent COLT 2022 Learning Distributionally Robust Models at Scale via Composite Optimization ICLR 2022 Learning Distributions Generated by Single-Layer ReLU Networks in the Presence of Arbitrary Outliers NeurIPS 2022