A General Framework For Detecting Anomalous Inputs to DNN Classifiers.
Jayaram RaghuramVarun ChandrasekaranSomesh JhaSuman BanerjeePublished in: ICML (2021)
Keyphrases
- detecting anomalous
- intrusion detection
- anomaly detection
- training data
- support vector
- network traffic
- linear classifiers
- test set
- decision trees
- classification systems
- feature selection
- svm classifier
- training samples
- naive bayes
- machine learning algorithms
- supervised classification
- training set
- feature set
- classifier combination
- ensemble learning
- active learning
- classifier ensemble
- ensemble classifier
- pattern recognition
- training process
- data processing
- intrusion detection system
- machine learning methods
- maximum likelihood