Who cites «Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples»

16 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

1. Unveiling the Achilles'' Heel of NLG Evaluators: A Unified Adversarial Framework Driven by Large Language Models — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
2. Certified Robustness to Text Adversarial Attacks by Randomized [MASK] — 2023 · Computational Linguistics
3. PAEG: Phrase-level Adversarial Example Generation for Neural Machine Translation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
4. Phrase-level Textual Adversarial Attack with Label Preservation — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
5. ROSE: Robust Selective Fine-tuning for Pre-trained Language Models — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
6. SHARP: Search-Based Adversarial Attack for Structured Prediction — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
7. To Augment or Not to Augment? A Comparative Study on Text Augmentation Techniques for Low-Resource NLP — 2022 · Computational Linguistics
8. Towards Adversarially Robust Text Classifiers by Learning to Reweight Clean Examples — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
9. Weight Perturbation as Defense against Adversarial Word Substitutions — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
10. A Closer Look into the Robustness of Neural Dependency Parsers Using Better Adversarial Examples — our card · 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
11. Better Robustness by More Coverage: Adversarial and Mixup Data Augmentation for Robust Finetuning — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
12. Defense against Synonym Substitution-based Adversarial Attacks via Dirichlet Neighborhood Ensemble — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
13. On the Transferability of Adversarial Attacks against Neural Text Classifier — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
14. Robustness and Adversarial Examples in Natural Language Processing — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts
15. Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
16. Improving Grammatical Error Correction Models with Purpose-Built Adversarial Examples — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)