Recurrent Neural Network Based Binary Code Vulnerability Detection
Author:
Affiliation:
1. State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou, China
Funder
Natural Science Foundation of China
Publisher
ACM
Reference12 articles.
1. Li Z Zou D Xu S etal VulDeePecker: A Deep Learning-Based System for Vulnerability Detection[J]. arXiv preprint arXiv:1801.01681 2018. Li Z Zou D Xu S et al. VulDeePecker: A Deep Learning-Based System for Vulnerability Detection[J]. arXiv preprint arXiv:1801.01681 2018.
2. Li Z Zou D Xu S etal SySeVR: a framework for using deep learning to detect software vulnerabilities[J]. arXiv preprint arXiv:1807.06756 2018. Li Z Zou D Xu S et al. SySeVR: a framework for using deep learning to detect software vulnerabilities[J]. arXiv preprint arXiv:1807.06756 2018.
3. Harer J A Kim L Y Russell R L etal Automated software vulnerability detection with machine learning[J]. arXiv preprint arXiv:1803.04497 2018. Harer J A Kim L Y Russell R L et al. Automated software vulnerability detection with machine learning[J]. arXiv preprint arXiv:1803.04497 2018.
4. Russell R Kim L Hamilton L etal Automated vulnerability detection in source code using deep representation learning[C]//2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA). IEEE 2018: 757--762. Russell R Kim L Hamilton L et al. Automated vulnerability detection in source code using deep representation learning[C]//2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA). IEEE 2018: 757--762.
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