Explaining the Contributing Factors for Vulnerability Detection in Machine Learning.
Esma MouineYan LiuLu XiaoRick KazmanXiao WangPublished in: CoRR (2024)
Keyphrases
- machine learning
- detection method
- detection algorithm
- feature selection
- detection accuracy
- explanation based learning
- automatic detection
- machine learning methods
- false positives
- learning algorithm
- factors affecting
- machine learning algorithms
- real time
- learning tasks
- event detection
- change detection
- supervised machine learning
- text mining
- object detection
- knowledge base
- active learning
- decision trees
- pattern recognition
- artificial intelligence
- anomaly detection
- detection scheme
- factors influencing
- machine learning approaches
- training data
- inductive learning
- information technology
- information extraction
- supervised learning
- knowledge acquisition
- semi supervised learning