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Adversarial Text Normalization. (arXiv:2206.04137v1 [cs.CL])
June 10, 2022, 1:12 a.m. | Joanna Bitton, Maya Pavlova, Ivan Evtimov
cs.CL updates on arXiv.org arxiv.org
Text-based adversarial attacks are becoming more commonplace and accessible
to general internet users. As these attacks proliferate, the need to address
the gap in model robustness becomes imminent. While retraining on adversarial
data may increase performance, there remains an additional class of
character-level attacks on which these models falter. Additionally, the process
to retrain a model is time and resource intensive, creating a need for a
lightweight, reusable defense. In this work, we propose the Adversarial Text
Normalizer, a novel …
More from arxiv.org / cs.CL updates on arXiv.org
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