Ir Fuzz
Rethinking Smart Contract Fuzzing: Fuzzing With Invocation Ordering and Important Branch Revisiting (TIFS 2022 Accepted).
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Graphdeesmartcontract | 84 | a year ago | 4 | mit | Python | |||||
| Smart contract vulnerability detection using graph neural network (DR-GCN). | ||||||||||
| Gnnscvuldetector | 65 | a year ago | 4 | Solidity | ||||||
| Smart Contract Vulnerability Detection Using Graph Neural Networks (IJCAI-20 Accepted) | ||||||||||
| Gpscvuldetector | 52 | a year ago | 3 | Python | ||||||
| Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection (TKDE 2021 Accepted) | ||||||||||
| Amevuldetector | 49 | a year ago | 3 | Python | ||||||
| Smart Contract Vulnerability Detection From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion (IJCAI-21 Accepted) | ||||||||||
| Ge Sc | 19 | 6 months ago | 1 | mit | Solidity | |||||
| MANDO is a new heterogeneous graph representation to learn the heterogeneous contract graphs' structures to accurately detect vulnerabilities in smart contract source code at both coarse-grained contract-level and fine-grained line-level. | ||||||||||
| Ir Fuzz | 18 | a year ago | 1 | C++ | ||||||
| Rethinking Smart Contract Fuzzing: Fuzzing With Invocation Ordering and Important Branch Revisiting (TIFS 2022 Accepted). | ||||||||||
| Dynamit | 17 | 7 months ago | mit | Jupyter Notebook | ||||||
| Dynamit: Dynamic Vulnerability Detection of Ethereum Smart Contracts Using Machine Learning by @mojtaba-eshghie | ||||||||||
| Gptlens | 13 | 7 months ago | Solidity | |||||||
| Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives (TPS23) | ||||||||||
| Smashing Smart Contracts Workshop | 10 | 5 years ago | Solidity | |||||||
| Smart Contracts Vulnerabilities | 10 | a year ago | 1 | mit | Python | |||||
| [BlockSys 2022] Exploring deep learning techniques for Ethereum smart contract vulnerability detection. | ||||||||||
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