Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment

Di Jin, Zhijing Jin, Joey Tianyi Zhou, Peter Szolovits. Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment. In The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020. pages 8018-8025, AAAI Press, 2020. [doi]

@inproceedings{JinJZS20,
  title = {Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment},
  author = {Di Jin and Zhijing Jin and Joey Tianyi Zhou and Peter Szolovits},
  year = {2020},
  url = {https://aaai.org/ojs/index.php/AAAI/article/view/6311},
  researchr = {https://researchr.org/publication/JinJZS20},
  cites = {0},
  citedby = {0},
  pages = {8018-8025},
  booktitle = {The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020},
  publisher = {AAAI Press},
  isbn = {978-1-57735-823-7},
}