Messi-Q / Cross-Modality-Bug-Detection
Cross-Modality Mutual Learning for Smart Contract Vulnerability Detection
☆30Updated last year
Alternatives and similar repositories for Cross-Modality-Bug-Detection:
Users that are interested in Cross-Modality-Bug-Detection are comparing it to the libraries listed below
- MANDO is a new heterogeneous graph representation to learn the heterogeneous contract graphs' structures to accurately detect vulnerabili…☆31Updated last year
- ☆39Updated 3 years ago
- Smart Contract Vulnerability Detection From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion (IJCAI-21 Accept…☆84Updated last year
- ☆21Updated last year
- This is the dataset for our TSE paper "Defining Smart Contracts Defects on Ethereum"☆16Updated 3 weeks ago
- Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection (TKDE Accepted)☆109Updated last year
- DeeSCVHunter: A Deep Learning-Based Framework for Smart Contract Vulnerability Detection (IJCNN 2021)☆23Updated last year
- ReChecker: Towards Automated Reentrancy Detection for Smart Contracts Based on Sequential Models☆53Updated 3 years ago
- Smart Contract Vulnerability Detection Based on Deep Learning. (LSTM, BLSTM, BLSTM+Attention)☆26Updated 5 years ago
- ☆26Updated 2 years ago
- “CBGRU: A Detection method of Smart Contract Vulnerability Based on Hybrid Model”☆9Updated 2 years ago
- ☆17Updated 8 months ago
- A Sequence Learning Approach to Detecting Vulnerabilities☆47Updated 3 years ago
- Evaluation Results for the Paper "EVMPatch: Timely and Automated Patching of Ethereum Smart Contracts"☆13Updated 3 years ago
- This is a crawler with a tool of Jsoup. Furthermore. Moreover, there is a python version.☆18Updated 5 years ago
- Smart Contract Vulnerability Detection Using Graph Neural Networks (IJCAI-20 Accepted)☆134Updated 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
- A project to automatically generate program repair recommendation in the field of smart contracts for given code snippets with their cont…☆12Updated 9 months ago
- Attacker Contract Identifier Through Static Dataflow Analysis☆21Updated 7 months ago
- Smart contract vulnerability detection using graph neural network (DR-GCN).☆147Updated last year
- ☆28Updated 3 weeks ago
- ☆31Updated 2 years ago
- Datasets for evaluating smart contract security analysis tools ( continuously updating... )☆149Updated last year
- Dynamit: Dynamic Vulnerability Detection of Ethereum Smart Contracts Using Machine Learning☆24Updated last year
- ☆12Updated 2 years ago
- Smart Contract Vulnerability Detection Using Graph Neural Networks☆16Updated 4 years ago
- Dataset containing source code and deployed bytecode for Solidity Smart Contracts that have been verified on Etherscan.io, along with a c…☆20Updated 2 years ago
- Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives (TPS23)☆82Updated 7 months ago
- HuangGai is an Ethereum smart contract bug injection framework, it can inject 20 types of bugs into Solidity smart contract. DOI: 10.5281…☆40Updated 3 years ago
- ☆38Updated 3 years ago