Collaboration to Repository-Level Vulnerability Detection
Author:
Affiliation:
1. Harbin Institute of Technology, Shenzhen, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3650212.3685562
Reference19 articles.
1. 2024. CVE-2023-20198 Detail. https://nvd.nist.gov/vuln/detail/CVE-2023-20198
2. BGNN4VD: Constructing Bidirectional Graph Neural-Network for Vulnerability Detection
3. ChatGPT. 2022. ChatGPT. https://chat.openai.com/
4. How About Bug-Triggering Paths?-Understanding and Characterizing Learning-Based Vulnerability Detectors;Cheng Xiao;IEEE Transactions on Dependable and Secure Computing.,2022
5. Xu Duan Jingzheng Wu Shouling Ji Zhiqing Rui Tianyue Luo Mutian Yang and Yanjun Wu. 2019. VulSniper: Focus Your Attention to Shoot Fine-Grained Vulnerabilities. In IJCAI. ijcai.org 4665–4671.
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