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robustness evaluation

144 papers

Papers

Sparse Black-Box Multimodal Attack for Vision-Language Adversary Generation EMNLP 2023 There is more than one kind of robustness: Fooling Whisper with adversarial examples Interspeech 2023 Adversarial Vulnerability of Randomized Ensembles ICML 2022 A Robustness Evaluation Framework for Argument Mining COLING 2022 CARBEN: Composite Adversarial Robustness Benchmark IJCAI 2022 CARETS: A Consistency And Robustness Evaluative Test Suite for VQA ACL 2022 DuQM: A Chinese Dataset of Linguistically Perturbed Natural Questions for Evaluating the Robustness of Question Matching Models EMNLP 2022 Exploring Robustness of Machine Translation Metrics: A Study of Twenty-Two Automatic Metrics in the WMT22 Metric Task EMNLP 2022 Exposing the Limits of Video-Text Models through Contrast Sets NAACL 2022 Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing NeurIPS 2022 How Does Data Corruption Affect Natural Language Understanding Models? A Study on GLUE datasets NAACL 2022 Increasing Confidence in Adversarial Robustness Evaluations NeurIPS 2022 Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples NeurIPS 2022 Language Invariant Properties in Natural Language Processing ACL 2022 Measuring Robustness for NLP COLING 2022 MORA: Improving Ensemble Robustness Evaluation with Model Reweighing Attack NeurIPS 2022 Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack CVPR 2022 RobustLR: A Diagnostic Benchmark for Evaluating Logical Robustness of Deductive Reasoners EMNLP 2022 Robust MT Evaluation with Sentence-level Multilingual Augmentation EMNLP 2022 Robustness Analysis of Video-Language Models Against Visual and Language Perturbations NeurIPS 2022 Robustness Evaluation of Text Classification Models Using Mathematical Optimization and Its Application to Adversarial Training AACL 2022 Robustness of Fusion-based Multimodal Classifiers to Cross-Modal Content Dilutions EMNLP 2022 Unifying Panoptic Segmentation for Autonomous Driving CVPR 2022 Anatomy of OntoGUM—Adapting GUM to the OntoNotes Scheme to Evaluate Robustness of SOTA Coreference Algorithms EMNLP 2021 Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions ACL 2021