QIAN

Smart contract vulnerability detection using graph neural network (DR-GCN).

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The digital watermark for image and pdf.

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Smart Contract Vulnerability Detection From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion (IJCAI-21 Accepted)

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Smart Contract Vulnerability Detection Using Graph Neural Networks (IJCAI-20 Accepted)

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Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection (TKDE Accepted)

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There is an image dataSet. We use Pytorch to extract the image features

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ReChecker: Towards Automated Reentrancy Detection for Smart Contracts Based on Sequential Models

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Datasets for evaluating smart contract security analysis tools ( continuously updating... )

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Rethinking Smart Contract Fuzzing: Fuzzing With Invocation Ordering and Important Branch Revisiting (TIFS Accepted).

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Demystifying Random Number in Ethereum Smart Contract: Taxonomy, Vulnerability Identification, and Attack Detection (TSE Accepted)

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