POSTER: Vulnerability Discovery with Function Representation Learning from Unlabeled Projects

Abstract

In cybersecurity, vulnerability discovery in source code is a fundamental problem. To automate vulnerability discovery, Machine learning (ML) based techniques has attracted tremendous attention. However, existing ML-based techniques focus on the component or file level detection, and thus considerable human effort is still required to pinpoint the… (More)
DOI: 10.1145/3133956.3138840

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