Toward Secure Code Generation: Bridging Correctness and Security via Task-Adaptive Vulnerability Modeling and Execution-Based Benchmarking
Experiments across multiple LLM backbones show that SecAwareCoder consistently improves Pass@1 and security robustness over prompting and analyzer-driven baselines, narrowing the security--correctness gap in LLM code generation.
Jie-Xin Wang, Liu-Wen Cao, Xi-Tong Luo et al.
· Proceedings of the ACM on So... · 54 citations
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