Interpretable Smart Contract Vulnerability Detection with LLM-Augmented Hilbert-Schmidt Information Bottleneck

Abstract

Graph neural networks (GNNs) have shown notable success in identifying security vulnerabilities within Ethereum smart contracts by capturing structural relationships encoded in control- and data-flow graphs. Despite their eff... | Find, read and cite all the research you need on Tech Science Press