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Attacks on deep learning models are often difficult to identify and therefore are difficult to protect against.
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Is BERT really robust? a strong baseline for natural language attack on text classification and entailment
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Robustness certificates for sparse adversarial attacks by randomized ablation
Alexander Levine and Soheil Feizi. 2020 · 2020
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Textattack: A framework for adversarial attacks, data augmentation, and adversarial training in NLP
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Certified robustness to adversarial word substitutions
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J Li, S Ji, T Du, B Li, and T Wang. 2019 · 2019
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Generating natural language adversarial examples through probability weighted word saliency
Shuhuai Ren, Yihe Deng, Kun He, and Wanxiang Che. 2019 · 2019
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Generalization to mitigate synonym substitution attacks
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Certified robustness to word substitution attack with differential privacy
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Defense against synonym substitution-based adversarial attacks via Dirichlet neighborhood ensemble
Yi Zhou, Xiaoqing Zheng, Cho-Jui Hsieh, Kai-Wei Chang, and Xuanjing Huang. 2021 · 2021
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