Papers by Huy Quang Ung
CheckHARD: Checking Hard Labels for Adversarial Text Detection, Prediction Correction, and Perturbed Word Suggestion (2022.findings-emnlp)
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| Challenge: | Existing work detects adversarial text and corrects the prediction by identifying perturbed words and changing them into their synonyms, but many benign words are also changed. |
| Approach: | They propose to detect adversarial text, correct the prediction, and suggest perturbed words by checking the change in the hard labels from the target’s predictions. |
| Outcome: | The proposed model outperforms existing work on various attacks, models, and datasets. |