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Department of Computer Science and Engineering, University at Buffalo
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ASTs and PDGs outperform raw source code in LLM vulnerability reasoning, revealing that more context isn't always better.
Despite recognizing secure coding principles, AI models still struggle to implement them effectively, revealing critical gaps in code generation capabilities.
