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
Sorting:
- ☆12Updated last year
- Smart Contract Vulnerability Detection Using Graph Neural Networks (IJCAI-20 Accepted)☆137Updated 2 years ago
- Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection (TKDE Accepted)☆115Updated 2 years ago
- Smart Contract Vulnerability Detection From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion (IJCAI-21 Accept…☆91Updated 2 years ago
- A Sequence Learning Approach to Detecting Vulnerabilities☆48Updated 3 years ago
- ☆18Updated last year
- Smart contract vulnerability detection using graph neural network (DR-GCN).☆149Updated 2 years ago
- ☆38Updated 4 years ago
- This is a crawler with a tool of Jsoup. Furthermore. Moreover, there is a python version.☆18Updated 6 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…☆24Updated last year
- This repository contains code for BABD, as detailed in our paper published in IEEE TIFS☆28Updated 3 months ago
- ReChecker: Towards Automated Reentrancy Detection for Smart Contracts Based on Sequential Models☆54Updated 4 years ago
- Smart Contract Vulnerability Detection Based on Deep Learning. (LSTM, BLSTM, BLSTM+Attention)☆28Updated 5 years ago
- DeeSCVHunter: A Deep Learning-Based Framework for Smart Contract Vulnerability Detection (IJCNN 2021)☆23Updated last year
- Elliptic++ Dataset: A Graph Network of Bitcoin Blockchain Transactions and Wallet Addresses☆95Updated last year
- BinaryCFGExtractor is an automated tool for extracting binary code control flow graph (CFG).☆15Updated 3 years ago
- ☆11Updated 10 months ago
- ☆22Updated 2 years ago
- Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives (TPS23)☆95Updated 10 months ago
- ☆12Updated 3 years ago
- Cross-Modality Mutual Learning for Smart Contract Vulnerability Detection☆31Updated 2 years ago
- ☆16Updated 2 years ago
- Code using in Paper "Smart Contract Vulnerability Detection Based on Semantic Graph and Residual Graph Convolutional Networks with Edge A…☆16Updated 2 years ago
- Attacker Contract Identifier Through Static Dataflow Analysis☆22Updated 11 months ago
- ☆30Updated 2 years ago
- MANDO is a new heterogeneous graph representation to learn the heterogeneous contract graphs' structures to accurately detect vulnerabili…☆31Updated last year
- ☆58Updated 7 years ago
- Dynamit: Dynamic Vulnerability Detection of Ethereum Smart Contracts Using Machine Learning☆25Updated last year
- Smart Contract Vulnerability Detection Using Graph Neural Networks☆15Updated 4 years ago
- ☆42Updated 3 years ago