Conference-Paper

MANDO-HGT: Heterogeneous Graph Transformers for Smart Contract Vulnerability Detection

The paper introduces MANDO-HGT, a framework designed to improve the accuracy and scalability of vulnerability detection in Ethereum smart contracts. By converting source code or …

Hoang h. nguyen
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MANDO-GURU: vulnerability detection for smart contract source code by heterogeneous graph embeddings

The paper introduces MANDO-GURU, a deep learning tool that utilizes heterogeneous graph attention neural networks on control-flow and call graphs to accurately detect smart …

Hoang h. nguyen
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MANDO: Multi-Level Heterogeneous Graph Embeddings for Fine-Grained Detection of Smart Contract Vulnerabilities

The paper introduces MANDO, a framework designed to overcome the limitations of existing heterogeneous graph techniques in handling complex, variable software graphs. It …

Hoang h. nguyen
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MANDO-LLM: Heterogeneous Graph Transformers with Large Language Models for Smart Contract Vulnerability Detection

While decentralized social networks (DSNs) built on blockchain are gaining popularity as alternatives to centralized models—offering features like content ownership, reward …

Hoang h nguyen
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