AwesomeHuang / BAClassifier
☆13Updated 2 years ago
Alternatives and similar repositories for BAClassifier:
Users that are interested in BAClassifier are comparing it to the libraries listed below
- Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection (TKDE Accepted)☆109Updated last year
- A python implementation of Toward Vulnerability Detection for Ethereum Smart Contracts Using Graph-Matching Network.基于图神经网络的以太坊智能合约漏洞检测方法…☆24Updated last year
- This repository contains code for BABD, as detailed in our paper published in IEEE TIFS☆24Updated last month
- Smart contract vulnerability detection using graph neural network (DR-GCN).☆147Updated last year
- ☆21Updated last year
- Smart Contract Vulnerability Detection Using Graph Neural Networks (IJCAI-20 Accepted)☆134Updated last year
- A Sequence Learning Approach to Detecting Vulnerabilities☆47Updated 3 years ago
- ☆17Updated last year
- A Survey of Deep Learning Models for Structural Code Understanding☆20Updated 2 years ago
- Smart Contract Vulnerability Detection From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion (IJCAI-21 Accept…☆84Updated last year
- ☆17Updated 8 months ago
- ☆38Updated 3 years ago
- Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives (TPS23)☆82Updated 7 months ago
- Smart Contract Vulnerability Detection Based on Deep Learning. (LSTM, BLSTM, BLSTM+Attention)☆26Updated 5 years ago
- MANDO is a new heterogeneous graph representation to learn the heterogeneous contract graphs' structures to accurately detect vulnerabili…☆31Updated last year
- ☆12Updated 2 years ago
- Code using in Paper "Smart Contract Vulnerability Detection Based on Semantic Graph and Residual Graph Convolutional Networks with Edge A…☆15Updated last year
- ☆39Updated 3 years ago
- ☆16Updated 2 years ago
- A framework of graph classification baselines which including TUDataset Loader, GNN models and visualization.☆12Updated 6 months ago
- ☆11Updated 10 months ago
- [code] "CFGExplainer: Explaining Graph Neural Network-Based Malware Classification from Control Flow Graphs" by Jerome Dinal Herath, Prit…☆35Updated 2 years ago
- MANDO-HGT is a framework for detecting smart contract vulnerabilities. Given either in source code or bytecode forms, MANDO-HGT adapts he…☆16Updated 10 months ago
- Cross-Modality Mutual Learning for Smart Contract Vulnerability Detection☆30Updated last year
- ☆32Updated 5 years ago
- Implementation of Adversarial Privacy Graph Embedding in TensorFlow☆19Updated 4 years ago
- DeeSCVHunter: A Deep Learning-Based Framework for Smart Contract Vulnerability Detection (IJCNN 2021)☆23Updated last year
- Vulnerability Discovery with Function Representation Learning from Unlabeled Projects☆37Updated 6 years ago
- ReChecker: Towards Automated Reentrancy Detection for Smart Contracts Based on Sequential Models☆53Updated 3 years ago
- Smart Contract Vulnerability Detection Using Graph Neural Networks☆16Updated 4 years ago