Adversarial Attack on Sentiment Classification

Yi-Ting (Alicia) Tsai; Min-Chu Yang; Han-Yu Chen

Adversarial Attack on Sentiment Classification

Yi-Ting (Alicia) Tsai, Min-Chu Yang, Han-Yu Chen

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Abstract

In this paper, we propose a white-box attack algorithm called “Global Search” method and compare it with a simple misspelling noise and a more sophisticated and common white-box attack approach called “Greedy Search”. The attack methods are evaluated on the Convolutional Neural Network (CNN) sentiment classifier trained on the IMDB movie review dataset. The attack success rate is used to evaluate the effectiveness of the attack methods and the perplexity of the sentences is used to measure the degree of distortion of the generated adversarial examples. The experiment results show that the proposed “Global Search” method generates more powerful adversarial examples with less distortion or less modification to the source text.

Anthology ID:: W19-3653
Volume:: Proceedings of the 2019 Workshop on Widening NLP
Month:: August
Year:: 2019
Address:: Florence, Italy
Editors:: Amittai Axelrod, Diyi Yang, Rossana Cunha, Samira Shaikh, Zeerak Waseem
Venue:: WiNLP
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 166–173
Language:
URL:: https://aclanthology.org/W19-3653/
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Cite (ACL):: Yi-Ting (Alicia) Tsai, Min-Chu Yang, and Han-Yu Chen. 2019. Adversarial Attack on Sentiment Classification. In Proceedings of the 2019 Workshop on Widening NLP, pages 166–173, Florence, Italy. Association for Computational Linguistics.
Cite (Informal):: Adversarial Attack on Sentiment Classification (Tsai et al., WiNLP 2019)
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@inproceedings{tsai-etal-2019-adversarial,
    title = "Adversarial Attack on Sentiment Classification",
    author = "Tsai, Yi-Ting (Alicia)  and
      Yang, Min-Chu  and
      Chen, Han-Yu",
    editor = "Axelrod, Amittai  and
      Yang, Diyi  and
      Cunha, Rossana  and
      Shaikh, Samira  and
      Waseem, Zeerak",
    booktitle = "Proceedings of the 2019 Workshop on Widening NLP",
    month = aug,
    year = "2019",
    address = "Florence, Italy",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W19-3653/",
    pages = "166--173",
    abstract = "In this paper, we propose a white-box attack algorithm called ``Global Search'' method and compare it with a simple misspelling noise and a more sophisticated and common white-box attack approach called ``Greedy Search''. The attack methods are evaluated on the Convolutional Neural Network (CNN) sentiment classifier trained on the IMDB movie review dataset. The attack success rate is used to evaluate the effectiveness of the attack methods and the perplexity of the sentences is used to measure the degree of distortion of the generated adversarial examples. The experiment results show that the proposed ``Global Search'' method generates more powerful adversarial examples with less distortion or less modification to the source text."
}

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%0 Conference Proceedings
%T Adversarial Attack on Sentiment Classification
%A Tsai, Yi-Ting (Alicia)
%A Yang, Min-Chu
%A Chen, Han-Yu
%Y Axelrod, Amittai
%Y Yang, Diyi
%Y Cunha, Rossana
%Y Shaikh, Samira
%Y Waseem, Zeerak
%S Proceedings of the 2019 Workshop on Widening NLP
%D 2019
%8 August
%I Association for Computational Linguistics
%C Florence, Italy
%F tsai-etal-2019-adversarial
%X In this paper, we propose a white-box attack algorithm called “Global Search” method and compare it with a simple misspelling noise and a more sophisticated and common white-box attack approach called “Greedy Search”. The attack methods are evaluated on the Convolutional Neural Network (CNN) sentiment classifier trained on the IMDB movie review dataset. The attack success rate is used to evaluate the effectiveness of the attack methods and the perplexity of the sentences is used to measure the degree of distortion of the generated adversarial examples. The experiment results show that the proposed “Global Search” method generates more powerful adversarial examples with less distortion or less modification to the source text.
%U https://aclanthology.org/W19-3653/
%P 166-173

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Markdown (Informal)

[Adversarial Attack on Sentiment Classification](https://aclanthology.org/W19-3653/) (Tsai et al., WiNLP 2019)

Adversarial Attack on Sentiment Classification (Tsai et al., WiNLP 2019)

ACL

Yi-Ting (Alicia) Tsai, Min-Chu Yang, and Han-Yu Chen. 2019. Adversarial Attack on Sentiment Classification. In Proceedings of the 2019 Workshop on Widening NLP, pages 166–173, Florence, Italy. Association for Computational Linguistics.