Lightweight Knowledge Distillation Speeds Up Vulnerability Detection in Python Code
A new knowledge distillation method compresses large pre-trained models into lightweight detectors that identify vulnerabilities in Python code with Macro-F1 ...
A new knowledge distillation method compresses large pre-trained models into lightweight detectors that identify vulnerabilities in Python code with Macro-F1 ...
Researchers at JAIST built a graph neural network and explanation framework that locates smart contract vulnerabilities at the individual function ...
A new comparative study finds that ensemble classifiers outperform deep learning models for smart contract vulnerability detection, while uncertainty-based active ...
Researchers in China have developed a deep learning model that analyzes complete, variable-length opcode sequences from blockchain transactions, detecting seven ...
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© 2025 Scienmag - Science Magazine