model robustness

Single Image Backdoor Inversion via Robust Smoothed Classifiers CVPR 2023 Test-Time Robust Personalization for Federated Learning ICLR 2023 The Enemy of My Enemy Is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training CVPR 2023 The Many Faces of Adversarial Machine Learning AAAI 2023 There is more than one kind of robustness: Fooling Whisper with adversarial examples Interspeech 2023 Towards Building More Robust Models with Frequency Bias ICCV 2023 Towards Building More Robust NER datasets: An Empirical Study on NER Dataset Bias from a Dataset Difficulty View EMNLP 2023 Towards Faithful Explanations for Text Classification with Robustness Improvement and Explanation Guided Training ACL 2023 Understanding and Enhancing Robustness of Concept-Based Models AAAI 2023 Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP EMNLP 2023 Which Spurious Correlations Impact Reasoning in NLI Models? A Visual Interactive Diagnosis through Data-Constrained Counterfactuals ACL 2023 3D Common Corruptions and Data Augmentation CVPR 2022 Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks NeurIPS 2022 Adversarial Text Normalization NAACL 2022 Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation AAAI 2022 Adversarial Vulnerability of Randomized Ensembles ICML 2022 A Fine-Grained Analysis on Distribution Shift ICLR 2022 Alleviating Adversarial Attacks on Variational Autoencoders with MCMC NeurIPS 2022 Analyzing Dynamic Adversarial Training Data in the Limit ACL 2022 Analyzing Modality Robustness in Multimodal Sentiment Analysis NAACL 2022 An Embarrassingly Simple Method to Mitigate Undesirable Properties of Pretrained Language Model Tokenizers ACL 2022 ASR-Robust Natural Language Understanding on ASR-GLUE dataset Interspeech 2022 Balanced Adversarial Training: Balancing Tradeoffs between Fickleness and Obstinacy in NLP Models EMNLP 2022 Cascading Biases: Investigating the Effect of Heuristic Annotation Strategies on Data and Models EMNLP 2022 CausalNLP Tutorial: An Introduction to Causality for Natural Language Processing EMNLP 2022