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%0 Conference Proceedings
%T BERT-Defense: A Probabilistic Model Based on BERT to Combat Cognitively Inspired Orthographic Adversarial Attacks
%A Keller, Yannik
%A Mackensen, Jan
%A Eger, Steffen
%Y Zong, Chengqing
%Y Xia, Fei
%Y Li, Wenjie
%Y Navigli, Roberto
%S Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
%D 2021
%8 August
%I Association for Computational Linguistics
%C Online
%F keller-etal-2021-bert
%R 10.18653/v1/2021.findings-acl.141
%U https://aclanthology.org/2021.findings-acl.141/
%U https://doi.org/10.18653/v1/2021.findings-acl.141
%P 1616-1629

Markdown (Informal)

[BERT-Defense: A Probabilistic Model Based on BERT to Combat Cognitively Inspired Orthographic Adversarial Attacks](https://aclanthology.org/2021.findings-acl.141/) (Keller et al., Findings 2021)

• BERT-Defense: A Probabilistic Model Based on BERT to Combat Cognitively Inspired Orthographic Adversarial Attacks (Keller et al., Findings 2021)

ACL

• Yannik Keller, Jan Mackensen, and Steffen Eger. 2021. BERT-Defense: A Probabilistic Model Based on BERT to Combat Cognitively Inspired Orthographic Adversarial Attacks. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 1616–1629, Online. Association for Computational Linguistics.