Author

Francesco C. Grasso

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Preprint Oct 2026

VulDec: Vulnerability Detection in Binaries via Neural Decompilation

Automated vulnerability detection in binary executables is challenging due to the lack of source code and the limited semantic information available at the assembly level. Despite significant progress in machine-learning-based code analysis, the field still lacks methodologies and large, high-quality datasets that prov...

Francesco C. Grasso, Pietro Liguori, R. Natella et al. · 0 citations

Preprint Oct 2026

Enhancing LLM-Based Vulnerability Detection via Representation-Aware Logical Ensemble

Automated vulnerability detection in C source code is a long-standing challenge, as traditional static analysis tools often trade precision for scalability and struggle with complex vulnerability patterns. Recently, large language models (LLMs) have shown promising results; yet, most approaches rely on a single code re...

Francesco C. Grasso, Pietro Liguori, R. Natella et al. · 0 citations