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With the advent of deep learning methods, Neural Machine Translation (NMT) systems have become increasingly powerful.
On evaluation of adversarial perturbations for sequence-to-sequence models
Michel, P., Li, X., Neubig, G., and Pino, J. M · 1903
Earlier work this paper cites.
Facebook fair’s WMT19 news translation task submission
Ng, N., Yee, K., Baevski, A., Ott, M., Auli, M., and Edunov, S · 1907
Earlier work this paper cites.
A reinforced generation of adversarial samples for neural machine translation
Zou, W., Huang, S., Xie, J., Dai, X., and Chen, J · 1911
Earlier work this paper cites.
WordNet: An electronic lexical database
Fellbaum, C · 1998
Earlier work this paper cites.
Intriguing properties of neural networks
Szegedy, C., Zaremba, W., Sutskever, I., Bruna, J., Erhan, D., Goodfellow, I., and Fergus, R · 2013
Earlier work this paper cites.
Explaining and harnessing adversarial examples
Goodfellow, I., Shlens, J., and Szegedy, C · 2015
Earlier work this paper cites.
Adversarial examples for evaluating reading comprehension systems
Jia, R. and Liang, P · 2017
Earlier work this paper cites.
Grammatical error correction with neural reinforcement learning
Sakaguchi, K., Post, M., and Durme, B. V · 2017
Earlier work this paper cites.
Attention is all you need
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, L. u., and Polosukhin, I · 2017
Earlier work this paper cites.
Generating natural adversarial examples
Zhao, Z., Dua, D., and Singh, S · 2017
Cited alongside, same era.
Blohm, M., Jagfeld, G., Sood, E., Yu, X., and Vu, N. T · 2018
Cited alongside, same era.
Seq2sick: Evaluating the robustness of sequence-to-sequence models with adversarial examples
Cheng, M., Yi, J., Zhang, H., Chen, P., and Hsieh, C · 2018
Cited alongside, same era.
On adversarial examples for character-level neural machine translation
Ebrahimi, J., Lowd, D., and Dou, D · 2018
Cited alongside, same era.
Adversarial example generation with syntactically controlled paraphrase networks
Adversarial examples detection in features distance spaces
Carrara, F., Becarelli, R., Caldelli, R., Falchi, F., and Amato, G · 2019
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Acl 2019 fourth conference on machine translation (wmt19), shared task: Machine translation of news
Foundation, W · 2019
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Language Models are Unsupervised Multitask Learners
Radford, A., Wu, J., Child, R., Luan, D., Amodei, D., and Sutskever, I · 2019
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Generating natural language adversarial examples through probability weighted word saliency
Ren, S., Deng, Y., He, K., and Che, W · 2019
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Universal Adversarial Attacks on Spoken Language Assessment Systems
Raina, V., Gales, M. J., and Knill, K. M · 2020
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Crafting adversarial examples for neural machine translation
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Iyyer, M., Wieting, J., Gimpel, K., and Zettlemoyer, L · 2018
Cited alongside, same era.
Textbugger: Generating adversarial text against real-world applications
Li, J., Ji, S., Du, T., Li, B., and Wang, T · 2018
Cited alongside, same era.
Adversarial reprogramming of sequence classification neural networks
Neekhara, P., Hussain, S., Dubnov, S., and Koushanfar, F · 2018
Cited alongside, same era.
A call for clarity in reporting BLEU scores
Post, M · 2018
Cited alongside, same era.
Identify susceptible locations in medical records via adversarial attacks on deep predictive models
Sun, M., Tang, F., Yi, J., Wang, F., and Zhou, J · 2018
Cited alongside, same era.
Hdasprachtechnologie/odenet: Open german wordnet
odenet
Cited in the paper.
Wiki-ru-wordnet
wiki-ru wordnet
Cited in the paper.
Zhang, X., Zhang, J., Chen, Z., and He, K · 2021
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Residue-based natural language adversarial attack detection, 2022
Raina, V. and Gales, M · 2022
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Grammatical error correction systems for automated assessment: Are they susceptible to universal adversarial attacks?
Raina, V., Gales, M., and Lu, Y · 2022
Later among the works it cites.