Toward Scalable Automated Repository-Level Datasets for Software Vulnerability Detection

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References (8)

[1]
BountyBench: Dollar Impact of AI Agent Attackers and Defenders on Real-World Cybersecurity Systems
2025Andy K. Zhang, Joey Ji et al.
[2]
CVE-Bench: A Benchmark for AI Agents' Ability to Exploit Real-World Web Application Vulnerabilities
2025Yuxuan Zhu, Antony Kellermann et al.
[3]
Top Score on the Wrong Exam: On Benchmarking in Machine Learning for Vulnerability Detection
2024Niklas Risse, Marcel Bohme
[4]
Revisiting the Performance of Deep Learning-Based Vulnerability Detection on Realistic Datasets
2024Partha Chakraborty, Krishnaveni Arumugam et al.
[5]
VulEval: Towards Repository-Level Evaluation of Software Vulnerability Detection
2024Xinjie Wen, Xinchen Wang et al.
[6]
Vulnerability Detection with Code Language Models: How Far are We?
2024Yangruibo Ding, Yanjun Fu et al.
[7]
ReposVul: A Repository-Level High-Quality Vulnerability Dataset
2024Xinchen Wang, Ruida Hu et al.
[8]
QL: Object-oriented Queries on Relational Data
2016Pavel Avgustinov, O. Moor et al.

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