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insecure JavaScript code from open-source repositories. Identify and label security-related commits using diff-based analysis. Integrate synthetic data generation (e.g., AST-based vulnerability injection
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. Systematic Mining of Real-World Vulnerabilities (Month 1) - Extract vulnerable and patched JavaScript code from open-source repositories and vulnerability databases, leveraging and extending the team’s
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rely on syntax-level heuristics versus security-relevant semantics. All experimental artifacts, code, and results will be released in an open-source repository. The selected candidate will be integrated
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and open-source release of training and evaluation pipelines. The selected candidate will be integrated into a research team with established expertise in software security, program analysis, and AI
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technical reports and open-source software, will also be considered. The CV should also mention the participation in national and international research projects. The Evaluation Panel reserves the right