model robustness

Adversarial Robustness for Code ICML 2020 Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning CVPR 2020 Adversarial Training for Commonsense Inference ACL 2020 A Robust Adversarial Training Approach to Machine Reading Comprehension AAAI 2020 Attack of the Tails: Yes, You Really Can Backdoor Federated Learning NeurIPS 2020 Benchmarking the Robustness of Semantic Segmentation Models CVPR 2020 BERT-ATTACK: Adversarial Attack Against BERT Using BERT EMNLP 2020 CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation EMNLP 2020 Certifai: A Toolkit for Building Trust in AI Systems IJCAI 2020 Clean-Label Backdoor Attacks on Video Recognition Models CVPR 2020 Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack CVPR 2020 Detecting Word Sense Disambiguation Biases in Machine Translation for Model-Agnostic Adversarial Attacks EMNLP 2020 Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference EMNLP 2020 DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles NeurIPS 2020 Efficient Adversarial Training With Transferable Adversarial Examples CVPR 2020 End-to-End Bias Mitigation by Modelling Biases in Corpora ACL 2020 Enhance Robustness of Sequence Labelling with Masked Adversarial Training EMNLP 2020 Enhancing Transformer with Sememe Knowledge ACL 2020 Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples ACL 2020 Exploring Weaknesses of VQA Models through Attribution Driven Insights ACL 2020 Exposing Shallow Heuristics of Relation Extraction Models with Challenge Data EMNLP 2020 Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial Perturbations ICML 2020 Gradient ℓ_1 Regularization for Quantization Robustness ICLR 2020 How Does Context Matter? On the Robustness of Event Detection with Context-Selective Mask Generalization EMNLP 2020 How Effectively Can Machines Defend Against Machine-Generated Fake News? An Empirical Study EMNLP 2020