• DOI:10.18653/v1/2020.emnlp-main.182
Corpus ID: 222134008

Adversarial Attack and Defense of Structured Prediction Models

@article{Han2020AdversarialAA,
  title={Adversarial Attack and Defense of Structured Prediction Models},
  author={Wenjuan Han and Liwen Zhang and Yong Jiang and K. Tu},
  journal={ArXiv},
  year={2020},
  volume={abs/2010.01610}
}

• Wenjuan Han, Liwen Zhang, +1 author K. Tu
• Published 2020
• Computer Science
• ArXiv

Building an effective adversarial attacker and elaborating on countermeasures for adversarial attacks for natural language processing (NLP) have attracted a lot of research in recent years. However, most of the existing approaches focus on classification problems. In this paper, we investigate attacks and defenses for structured prediction tasks in NLP. Besides the difficulty of perturbing discrete words and the sentence fluency problem faced by attackers in any NLP tasks, there is a specific… Expand

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