Conference paper
(DADC Workshop 2022) Proceedings of the First Workshop on Dynamic Adversarial Data Collection, 2022, pp. 41--52
APA
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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
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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
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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}
}