MUTEN: Mutant-Based Ensembles for Boosting Gradient-Based Adversarial Attack.
Qiang HuYuejun GuoMaxime CordyMike PapadakisYves Le TraonPublished in: ASE (2023)
Keyphrases
- ensemble methods
- ensemble learning
- base classifiers
- base learners
- decision tree ensembles
- decision stumps
- weighted voting
- prediction accuracy
- multiple classifier systems
- weak learners
- ensemble classifier
- decision trees
- learning algorithm
- random forests
- generalization ability
- multi agent
- classifier ensemble
- weak classifiers
- neural network
- random forest
- multi class
- differential evolution
- secret key
- boosting algorithms
- benchmark datasets
- majority voting
- randomized trees
- ensemble members
- training set
- denial of service attacks
- ensemble selection
- malicious users
- data sets
- negative correlation learning
- ddos attacks
- imbalanced data
- combining multiple
- machine learning methods
- training samples
- genetic algorithm
- machine learning