Accompanying the successes of learning-based defensive software vulnerability analyses is
the lack of large and quality sets of labeled vulnerable program samples, which impedes …

Increasing studies have shown bugs in multi-language software as a critical loophole in
modern software quality assurance, especially those induced by language interactions (ie …

We present VinJ, an efficient automated tool for large-scale diverse vulnerability data
generation. VinJ automatically generates vulnerability data by injecting vulnerabilities into …