Papers
1–4 of 4TOSSS: a CVE-based Software Security Benchmark for Large Language Models
With their increasing capabilities, Large Language Models (LLMs) are now used across many industries. They have become useful tools for software engineers and support a wide range of development tasks...
Toward Scalable Automated Repository-Level Datasets for Software Vulnerability Detection
Software vulnerabilities continue to grow in volume and remain difficult to detect in practice. Although learning-based vulnerability detection has progressed, existing benchmarks are largely function...
An Empirical Study of the Imbalance Issue in Software Vulnerability Detection
Vulnerability detection is crucial to protect software security. Nowadays, deep learning (DL) is the most promising technique to automate this detection task, leveraging its superior ability to extrac...
A Longitudinal Study of Usability in Identity-Based Software Signing
Identity-based software signing tools aim to make software artifact provenance verifiable while reducing the operational burden of long-lived key management. However, there is limited cross-tool longi...