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Recently, there has been a growing interest in automatic software vulnerability detection. Pre-trained model-based approaches have demonstrated superior performance than other Deep Learning (DL)-based approaches in detecting vulnerabilities. However, the existing pre-trained model-based…
The main features of xin-cheng-wen/comment4vul 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. cgcl-codes/vulllm — This is the codebase for the paper "Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction… 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
