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

Year: 2026

Type: article

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

Source: Computers, materials & continua/Computers, materials & continua (Print)

DOI: 10.32604/cmc.2025.074959

Authors: Yiming Yu, Yunfei Guo, Junchen Liu, Yiping Sun, Junliang Du

Institutions: Boston University, Dalhousie University, Shanghai Jiao Tong University, New York University

Language: English

Topic: Blockchain Technology Applications and Security

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

Funder: National Natural Science Foundation of China

Awards: G2452796351, G4060959385, G5517446616, G68483351, G8721642152