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GraftyVul: Synthesising Insecure Programs Through Real-World Vulnerability Grafting
Vulnerability datasets underpin a wide range of security research, including vulnerability detection, automated remediation, and secure code generation. However, existing datasets sacrifice at least one of three desirable properties: diversity (of language or vulnerability type), reproducibility/exe
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