Trojan-Net Feature Extraction and Its Application to Hardware-Trojan Detection for Gate-Level Netlists Using Random Forest.
Kento HasegawaMasao YanagisawaNozomu TogawaPublished in: IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (2017)
Keyphrases
- random forest
- feature extraction
- feature set
- random forests
- decision trees
- ensemble methods
- fold cross validation
- feature selection
- image processing
- feature importance
- object detection
- rotation forest
- feature space
- ensemble learning
- multi label
- face recognition
- dimensionality reduction
- decision tree learning algorithms
- prediction accuracy
- neural network
- text mining
- active learning
- feature vectors
- machine learning