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This is the codebase for the paper "Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning", a research outcome by the ARTS^3 research group from Huazhong University of Science and Technology.
The main features of cgcl-codes/vulllm are: Vulnerability Detection Frameworks.
Projects with overlapping indexed features include: alperen21/jitvul. basimbd/secvuleval — SecVulEval is a dataset of C/C++ vulnerabilities. The dataset includes 5,867 CVEs, 10,998 vulnerable and 14,442… berabuddies/agentflow — Orchestrate thousands of agents and harnesses as a graph programatically. cgcl-codes/vffinder — This is the artifact repository of VFFinder for ASE'24. chengpeng-wang/llmdfa — LLMDFA is an LLM-powered data-flow analysis framework. Specifically, it instantiates bottom-up summary-based data-flow… ai4cloudops/secllmholmes — 🎉 IEEE Symposium on Security and Privacy 2024!
SecVulEval is a dataset of C/C++ vulnerabilities. The dataset includes 5,867 CVEs, 10,998 vulnerable and 14,442 non-vulnerable functions. Besides other relevant metadata, this dataset includes bug-fix changes at the statement level and contextual information related to the vulnerable statement.…
Orchestrate thousands of agents and harnesses as a graph programatically
