Detection of Trojaning Attack on Neural Networks via Cost of Sample Classification.
Hui GaoYunfang ChenWei ZhangPublished in: Secur. Commun. Networks (2019)
Keyphrases
- neural network
- pattern recognition
- cost sensitive
- neyman pearson
- classification algorithm
- false positives
- support vector machine
- artificial neural networks
- feature vectors
- classification accuracy
- small sample
- classification scheme
- pattern classification
- cost sensitive learning
- false negative
- text classification
- feature selection
- learning vector quantization
- feature extraction and classification
- cost sensitive classification
- class labels
- detection algorithm
- support vector machine svm
- support vector
- object detection
- data sets
- microcalcification clusters
- machine learning
- decision trees
- robust detection
- feature extraction
- unsupervised learning
- automatic detection
- detection rate
- supervised learning
- multi layer perceptron
- automatic classification
- rule extraction
- fuzzy logic
- multi class
- anomaly detection
- digital mammograms
- classification method
- detection method