A lightweight transformer based multi task learning model with dynamic weight allocation for improved vulnerability prediction
Abstract Accurate vulnerability prediction is crucial for identifying potential security risks in software, especially in the context of imbalanced and complex real-world datasets. Traditional methods, such as single-task learning and ensemble approaches, often struggle with these challenges, partic...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-08-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-10650-6 |
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