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model robustness

478 papers

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adversarial attack (1599) adversarial training (1261) adversarial robustness (1335) text classification (6776) adversarial example (563) data augmentation (3037) large language model (12755) adversarial learning (1592) natural language processing (2027) domain generalization (1517)

Papers

Benchmarking the Robustness of Semantic Segmentation Models CVPR 2020
CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation EMNLP 2020
On the Robustness of Language Encoders against Grammatical Errors ACL 2020
Exposing Shallow Heuristics of Relation Extraction Models with Challenge Data EMNLP 2020
Second-Order NLP Adversarial Examples EMNLP 2020
How Effectively Can Machines Defend Against Machine-Generated Fake News? An Empirical Study EMNLP 2020
Certifai: A Toolkit for Building Trust in AI Systems IJCAI 2020
Exploring Weaknesses of VQA Models through Attribution Driven Insights ACL 2020
Enhancing Transformer with Sememe Knowledge ACL 2020
Adversarial Training for Commonsense Inference ACL 2020
Smoothed Geometry for Robust Attribution NIPS 2020
Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples ACL 2020
A Robust Adversarial Training Approach to Machine Reading Comprehension AAAI 2020
Adversarial Robustness Against the Union of Multiple Perturbation Models ICML 2020
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning NIPS 2020
When NAS Meets Robustness: In Search of Robust Architectures Against Adversarial Attacks CVPR 2020
Utilizing Multimodal Feature Consistency to Detect Adversarial Examples on Clinical Summaries EMNLP 2020
What’s in a Name? Are BERT Named Entity Representations just as Good for any other Name? ACL 2020
End-to-End Bias Mitigation by Modelling Biases in Corpora ACL 2020
Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial Perturbations ICML 2020
Iterative Feature Mining for Constraint-Based Data Collection to Increase Data Diversity and Model Robustness EMNLP 2020
Towards Debiasing NLU Models from Unknown Biases EMNLP 2020
More Bang for Your Buck: Natural Perturbation for Robust Question Answering EMNLP 2020
Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack CVPR 2020
Clean-Label Backdoor Attacks on Video Recognition Models CVPR 2020