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Adversarial attacking aims to fool deep neural networks with adversarial examples.
Is BERT really robust? Natural language attack on text classification and entailment
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RoBERTa: A robustly optimized BERT pretraining approach
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Natural language adversarial attacks and defenses in word level
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Understanding neural networks through representation erasure
Jiwei Li, Will Monroe, and Dan Jurafsky. 2016 · 2016
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Crafting adversarial input sequences for recurrent neural networks
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Deceiving Google’s perspective API built for detecting toxic comments
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Adversarial examples for evaluating reading comprehension systems
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Deep android malware detection
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Interpretable adversarial perturbation in input embedding space for text
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Reinforcement learning: An introduction
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A broad-coverage challenge corpus for sentence understanding through inference
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Generating natural adversarial examples
Zhengli Zhao, Dheeru Dua, and Sameer Singh. 2018 · 2018
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BERT: Pre-training of deep bidirectional Transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Text processing like humans do: Visually attacking and shielding NLP systems
Steffen Eger, Gözde Gül Şahin, Andreas Rücklé, Ji-Ung Lee, Claudia Schulz, Mohsen Mesgar, Krishnkant Swarnkar, Edwin Simpson, and Iryna Gurevych. 2019 · 2019
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Synthetic and natural noise both break neural machine translation
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E-mail spam filtering: a review of techniques and trends
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Hotflip: White-box adversarial examples for text classification
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Black-box generation of adversarial text sequences to evade deep learning classifiers
Ji Gao, Jack Lanchantin, Mary Lou Soffa, and Yanjun Qi. 2018 · 2018
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Adversarial example generation with syntactically controlled paraphrase networks
Mohit Iyyer, John Wieting, Kevin Gimpel, and Luke Zettlemoyer. 2018 · 2018
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Deep text classification can be fooled
Bin Liang, Hongcheng Li, Miaoqiang Su, Pan Bian, Xirong Li, and Wenchang Shi. 2018 · 2018
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ALBERT: A lite BERT for self-supervised learning of language representations
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Combating adversarial misspellings with robust word recognition
Danish Pruthi, Bhuwan Dhingra, and Zachary C Lipton. 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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XLNet: Generalized autoregressive pretraining for language understanding
Zhilin Yang, Zihang Dai, Yiming Yang, Jaime Carbonell, Russ R Salakhutdinov, and Quoc V Le. 2019 · 2019
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Generating fluent adversarial examples for natural languages
Huangzhao Zhang, Hao Zhou, Ning Miao, and Lei Li. 2019 · 2019
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Word-level textual adversarial attacking as combinatorial optimization
Yuan Zang, Fanchao Qi, Chenghao Yang, Zhiyuan Liu, Meng Zhang, Qun Liu, and Maosong Sun. 2020 · 2020
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