Revealing Backdoors, Post-Training, in DNN Classifiers via Novel Inference on Optimized Perturbations Inducing Group Misclassification.
Zhen XiangDavid J. MillerGeorge KesidisPublished in: CoRR (2019)
Keyphrases
- training process
- training set
- test set
- training data
- training samples
- training examples
- error rate
- structured prediction
- support vector
- collective classification
- machine learning algorithms
- class labels
- discriminative classifiers
- probabilistic inference
- linear classifiers
- multi layer perceptron
- linear svm
- classifier training
- naive bayes
- supervised training
- supervised learning
- bayesian networks
- sufficient training data
- hidden structure
- labeled training data
- boosted classifiers
- learning algorithm
- satisfiability problem
- feature selection
- training phase
- roc curve
- svm classifier
- text categorization
- classification performances
- artificial neural networks
- misclassification rate
- training and testing data
- data sets
- feature selection and classifier