VertAttack: Taking Advantage of Text Classifiers’ Horizontal Vision (2024.naacl-long)
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| Challenge: | Current SOTA classifiers are subject to problems like bias and are vulnerable to adversarial attacks. |
| Approach: | They propose an attack to mimic a classifier's character based attack and thenrewrite those words vertically. |
| Outcome: | The proposed attack can drop the accuracy of 4 different transformer models on 5 datasets and preserve meaning. |
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