Uncovering the Limits of Machine Learning for Automatic Vulnerability Detection.
Niklas RisseMarcel BöhmePublished in: USENIX Security Symposium (2024)
Keyphrases
- machine learning
- detection algorithm
- fully automatic
- machine learning algorithms
- active learning
- detection rate
- decision trees
- data analysis
- automatic detection
- inductive learning
- data driven
- event detection
- natural language processing
- machine learning methods
- semi automatic
- detection accuracy
- anomaly detection
- supervised learning
- data mining
- knowledge discovery
- artificial intelligence
- computer vision
- detection scheme
- machine learning approaches
- learning algorithm
- false alarms
- feature selection
- decision making
- support vector
- computer science
- information extraction
- digital images
- object detection
- knowledge acquisition