Smart Contract Vulnerability Detection From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion (IJCAI-21 Accepted)
☆100Feb 28, 2023Updated 3 years ago
Alternatives and similar repositories for AMEVulDetector
Users that are interested in AMEVulDetector are comparing it to the libraries listed below
Sorting:
- Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection (TKDE Accepted)☆120Feb 28, 2023Updated 3 years ago
- Smart Contract Vulnerability Detection Using Graph Neural Networks (IJCAI-20 Accepted)☆148Feb 28, 2023Updated 3 years ago
- ReChecker: Towards Automated Reentrancy Detection for Smart Contracts Based on Sequential Models☆57May 11, 2021Updated 4 years ago
- Datasets for evaluating smart contract security analysis tools ( continuously updating... )☆198Aug 21, 2023Updated 2 years ago
- ☆45Jul 29, 2021Updated 4 years ago
- A Sequence Learning Approach to Detecting Vulnerabilities☆48Nov 17, 2021Updated 4 years ago
- MANDO is a new heterogeneous graph representation to learn the heterogeneous contract graphs' structures to accurately detect vulnerabili…☆35Nov 24, 2023Updated 2 years ago
- ☆25Apr 25, 2024Updated last year
- This repository contains 47,398 smart contracts extracted from the Ethereum network.☆195Jun 3, 2020Updated 5 years ago
- ☆37Mar 26, 2021Updated 4 years ago
- Extracting graph data from smart contract source code☆13Feb 28, 2023Updated 3 years ago
- This is the dataset for our TSE paper "Defining Smart Contracts Defects on Ethereum"☆17Dec 28, 2024Updated last year
- SolidiFI is an automated and systematic framework for evaluating smart contracts' static analysis tools via Bug Injection☆82Feb 3, 2024Updated 2 years ago
- ☆15Aug 27, 2022Updated 3 years ago
- Smart Contract Vulnerability Detection Based on Deep Learning. (LSTM, BLSTM, BLSTM+Attention)☆29Jul 14, 2019Updated 6 years ago
- Demystifying Random Number in Ethereum Smart Contract: Taxonomy, Vulnerability Identification, and Attack Detection (TSE Accepted)☆24Aug 23, 2022Updated 3 years ago
- MANDO-HGT is a framework for detecting smart contract vulnerabilities. Given either in source code or bytecode forms, MANDO-HGT adapts he…☆20Mar 7, 2024Updated last year
- ☆21Apr 17, 2023Updated 2 years ago
- Repository of benchmarks to evaluate Solidity Smart contract analysis tools☆73Jun 16, 2022Updated 3 years ago
- DeeSCVHunter: A Deep Learning-Based Framework for Smart Contract Vulnerability Detection (IJCNN 2021)