Ensemble Learning

Smart Contract Vulnerability Detection via Information Graph and Ensemble Learning

Zhang, Wang et al. propose SCVDIE, a smart contract vulnerability detection method combining seven neural networks with information graphs via ensemble learning. By pretraining on an information graph and ensembling diverse architectures, they achieve higher accuracy on small vulnerability datasets than individual models or static analysis tools.