Generating Adversarial Examples of Source Code Classification Models via Q-Learning-Based Markov Decision Process-Reference-Cited by-同舟云学术

Generating Adversarial Examples of Source Code Classification Models via Q-Learning-Based Markov Decision Process

Published:2021-12 Issue: Volume: Page:
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Container-title:2021 IEEE 21st International Conference on Software Quality, Reliability and Security (QRS)
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Author:

Tian Junfeng¹,Wang Chenxin¹,Li Zhen¹,Wen Yu¹

Affiliation:

1. Hebei University Baoding,China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hebei Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9724650/9724651/09724884.pdf?arnumber=9724884

Reference31 articles.

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3. Explaining and harnessing adversarial examples;goodfellow;Proceedings of the 3rd International Conference on Learning Representations,0

4. Adversarial training methods for semi-supervised text classification;miyato;Proceedings of the 5th International Conference on Learning Representations,0

5. Generating Adversarial Examples for Holding Robustness of Source Code Processing Models

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