Papers by Yannik Benz
From Hero to Zéroe: A Benchmark of Low-Level Adversarial Attacks (2020.aacl-main)
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| Challenge: | Adversarial attacks are label-preserving modifications to inputs of machine learning classifiers designed to fool machines but not humans. |
| Approach: | They propose to use a dataset to test the robustness of future NLP models to identify low-level adversarial attacks that are less realistic in typical applications such as social media. |
| Outcome: | The proposed dataset provides a benchmark for testing robustness of future more human-like NLP models. |