Robustness
576 papers
Papers per year
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35
62
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112
81
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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