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Rafael Ramires

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Conference Open access Sep 2026

Empowering Large Language Models with Static Analysis for Effective Vulnerability Detection

Web applications are pervasive and security-critical, making accurate vulnerability detection essential for protecting sensitive data and service integrity. Although static analysis tools (SATs) are widely used for vulnerability detection, they often suffer from high false positive (FP) rates and limited adaptability t...

Rafael Ramires, Ana Respício, Mike Papadakis et al. · 0 citations

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