STEWART: STacking Ensemble for White-Box AdversaRial Attacks Towards more resilient data-driven predictive maintenance.
Onat GüngörTajana RosingBaris AksanliPublished in: Comput. Ind. (2022)
Keyphrases
- data driven
- white box
- black box
- ensemble learning
- source code metrics
- base classifiers
- source code
- test data
- software maintenance
- countermeasures
- combining classifiers
- ensemble methods
- random forests
- multi agent
- multi class
- neural network
- model averaging
- training data
- test cases
- predictive model
- decision trees
- open source
- classifier ensemble
- random forest
- security protocols
- database
- training set
- malicious attacks
- multiple classifiers
- generalization ability
- majority voting
- pruning algorithm
- security threats
- decision tree classifiers
- naive bayes
- ensemble classifier
- prediction accuracy
- combining multiple