Robustness

ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations ICLR 2023 Improving Robustness of Vision Transformers by Reducing Sensitivity To Patch Corruptions CVPR 2023 Language Model Pre-training on True Negatives AAAI 2023 Noise Injection Node Regularization for Robust Learning ICLR 2023 On Robustness of Finetuned Transformer-based NLP Models EMNLP 2023 Optimal Transport Model Distributional Robustness NeurIPS 2023 Progress and Limitations of Deep Networks to Recognize Objects in Unusual Poses AAAI 2023 Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks CVPR 2023 Revisiting adapters with adversarial training ICLR 2023 Robustness Guarantees for Adversarially Trained Neural Networks NeurIPS 2023 Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases NeurIPS 2023 Temporal Coherent Test Time Optimization for Robust Video Classification ICLR 2023 The Best Defense Is a Good Offense: Adversarial Augmentation Against Adversarial Attacks CVPR 2023 Toward Adversarial Training on Contextualized Language Representation ICLR 2023 Wasserstein distributional robustness of neural networks NeurIPS 2023 XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models ACL 2023 3DeformRS: Certifying Spatial Deformations on Point Clouds CVPR 2022 Adversarial Attack for Asynchronous Event-Based Data AAAI 2022 Bounded Adversarial Attack on Deep Content Features CVPR 2022 Certified Patch Robustness via Smoothed Vision Transformers CVPR 2022 Combating Adversaries with Anti-adversaries AAAI 2022 Does Self-Rationalization Improve Robustness to Spurious Correlations? EMNLP 2022 Efficient Robust Training via Backward Smoothing AAAI 2022 Exploring Robustness of Prefix Tuning in Noisy Data: A Case Study in Financial Sentiment Analysis EMNLP 2022 Hard ImageNet: Segmentations for Objects with Strong Spurious Cues NeurIPS 2022