In this tutorial, we investigate the history, evolution and latest research topics in the area of adversarial machine learning for text data. Both classical attacks on spam filters and more recent attacks on deep learning models for text classification problems will be discussed.We then discuss proposed and potential defenses against these attacks.We conclude with some directions for future research.
Mendeley helps you to discover research relevant for your work.
CITATION STYLE
Lee, D., & Verma, R. (2020). Adversarial Machine Learning for Text. In IWSPA 2020 - Proceedings of the 6th International Workshop on Security and Privacy Analytics (pp. 33–34). Association for Computing Machinery, Inc. https://doi.org/10.1145/3375708.3380551