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
Fields of Study & Subjects
Advanced Graph Neural Networks
Adversarial Robustness in Machine Learning
Information and Cyber Security
Publication details
- Journal / source
- Computers, materials & continua/Computers, materials & continua (Print)
- Publisher
- Tech Science Press
- Volume
- 87
- Issue
- 2
- Pages
- 1–10
- Publication date
- 1 January 2026
- Language
- EN