Papers by Gholamreza Ghassem-Sani
RobustQA: A Framework for Adversarial Text Generation Analysis on Question Answering Systems (2023.emnlp-demo)
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Yasaman Boreshban, Seyed Morteza Mirbostani, Seyedeh Fatemeh Ahmadi, Gita Shojaee, Fatemeh Kamani, Gholamreza Ghassem-Sani, Seyed Abolghasem Mirroshandel
| Challenge: | Question answering (QA) systems have reached human-level accuracy, but they are not robust enough and vulnerable to adversarial examples. |
| Approach: | They modified the attack algorithms widely used in text classification to fit them for QA systems. |
| Outcome: | The proposed framework is the first open-source toolkit for investigating textual adversarial attacks in QA systems. |