Messi-Q / GPSCVulDetector
Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection (TKDE Accepted)
☆99Updated last year
Related projects: ⓘ
- Smart Contract Vulnerability Detection From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion (IJCAI-21 Accept…☆78Updated last year
- Smart Contract Vulnerability Detection Using Graph Neural Networks (IJCAI-20 Accepted)☆119Updated last year
- Smart contract vulnerability detection using graph neural network (DR-GCN).☆139Updated last year
- ReChecker: Towards Automated Reentrancy Detection for Smart Contracts Based on Sequential Models☆48Updated 3 years ago
- ☆37Updated 3 years ago
- MANDO is a new heterogeneous graph representation to learn the heterogeneous contract graphs' structures to accurately detect vulnerabili…☆29Updated 9 months ago
- Cross-Modality Mutual Learning for Smart Contract Vulnerability Detection☆25Updated last year
- DeeSCVHunter: A Deep Learning-Based Framework for Smart Contract Vulnerability Detection (IJCNN 2021)☆21Updated last year
- A Sequence Learning Approach to Detecting Vulnerabilities☆46Updated 2 years ago
- Smart Contract Vulnerability Detection Based on Deep Learning. (LSTM, BLSTM, BLSTM+Attention)☆24Updated 5 years ago
- 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…☆23Updated last year
- This is the dataset for our TSE paper "Defining Smart Contracts Defects on Ethereum"☆16Updated 4 years ago
- This is a crawler with a tool of Jsoup. Furthermore. Moreover, there is a python version.☆17Updated 5 years ago
- Datasets for evaluating smart contract security analysis tools ( continuously updating... )