CRank: Reusable Word Importance Ranking for Text Adversarial Attack

CRank: Reusable Word Importance Ranking for Text Adversarial Attack

Deep learning models have been widely used in natural language processing tasks, yet researchers have recently proposed several methods to fool the state-of-the-art neural network models. Among these methods, word importance ranking is an essential part that generates text adversarial examples, but...

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Bibliographic Details
Main Authors:	Xinyi Chen, Bo Liu
Format:	Article
Language:	English
Published:	MDPI AG 2021-10-01
Series:	Applied Sciences
Subjects:	deep neural networks natural language processing adversarial examples
Online Access:	https://www.mdpi.com/2076-3417/11/20/9570

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