longhorns at DADC 2022: How many linguists does it take to fool a Question Answering model? A systematic approach to adversarial attacks.


Conference paper


Venelin Kovatchev, Trina Chatterjee, Venkata S Govindarajan, Jifan Chen, Eunsol Choi, Gabriella Chronis, Anubrata Das, Katrin Erk, Matthew Lease, Junyi Jessy Li, others
(DADC Workshop 2022) Proceedings of the First Workshop on Dynamic Adversarial Data Collection, 2022, pp. 41--52

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APA   Click to copy
Kovatchev, V., Chatterjee, T., Govindarajan, V. S., Chen, J., Choi, E., Chronis, G., … others. (2022). longhorns at DADC 2022: How many linguists does it take to fool a Question Answering model? A systematic approach to adversarial attacks. In (DADC Workshop 2022) Proceedings of the First Workshop on Dynamic Adversarial Data Collection (pp. 41–52).


Chicago/Turabian   Click to copy
Kovatchev, Venelin, Trina Chatterjee, Venkata S Govindarajan, Jifan Chen, Eunsol Choi, Gabriella Chronis, Anubrata Das, et al. “Longhorns at DADC 2022: How Many Linguists Does It Take to Fool a Question Answering Model? A Systematic Approach to Adversarial Attacks.” In (DADC Workshop 2022) Proceedings of the First Workshop on Dynamic Adversarial Data Collection, 41–52, 2022.


MLA   Click to copy
Kovatchev, Venelin, et al. “Longhorns at DADC 2022: How Many Linguists Does It Take to Fool a Question Answering Model? A Systematic Approach to Adversarial Attacks.” (DADC Workshop 2022) Proceedings of the First Workshop on Dynamic Adversarial Data Collection, 2022, pp. 41–52.


BibTeX   Click to copy

@inproceedings{kovatchev2022a,
  title = {longhorns at DADC 2022: How many linguists does it take to fool a Question Answering model? A systematic approach to adversarial attacks.},
  year = {2022},
  pages = {41--52},
  author = {Kovatchev, Venelin and Chatterjee, Trina and Govindarajan, Venkata S and Chen, Jifan and Choi, Eunsol and Chronis, Gabriella and Das, Anubrata and Erk, Katrin and Lease, Matthew and Li, Junyi Jessy and others},
  booktitle = {(DADC Workshop 2022) Proceedings of the First Workshop on Dynamic Adversarial Data Collection}
}


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