GraphEye: A Novel Solution for Detecting Vulnerable Functions Based on Graph Attention Network-Reference-Cited by-同舟云学术

GraphEye: A Novel Solution for Detecting Vulnerable Functions Based on Graph Attention Network

Published:2021-10 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE Sixth International Conference on Data Science in Cyberspace (DSC)
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Author:

Zhou Li¹,Huang Minhuan²,Li Yujun³,Nie Yuanping²,Li Jin²,Liu Yiwei³

Affiliation:

1. School of Information and Communication Engineering, University of Electronic Science and Technology of China,Chengdu,China

2. National Key Laboratory of Science and Technology on Information System Security,Beijing,China

3. School of Computer Science and Engineering, University of Electronic Science and Technology of China,Chengdu,China

Funder

National Key Research and Development Program of China

Publisher

IEEE

Link

Reference21 articles.

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5. Pattern-based methods for vulnerability discovery;yamaguchi;the PhD Program in Computer Science (PCS) of the Georg-August,2015

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3. What Makefile? Detecting Compiler Information Without Source Using The Code Property Graph;2022 IEEE 4th International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications (TPS-ISA);2022-12

4. Vulmg: A Static Detection Solution For Source Code Vulnerabilities Based On Code Property Graph and Graph Attention Network;2021 18th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP);2021-12-17