MUTEN: Boosting Gradient-Based Adversarial Attacks via Mutant-Based Ensembles.
Yuejun GuoQiang HuMaxime CordyMichail PapadakisYves Le TraonPublished in: CoRR (2021)
Keyphrases
- ensemble methods
- ensemble learning
- base classifiers
- weighted voting
- decision tree ensembles
- random forests
- countermeasures
- weak learners
- base learners
- ensemble classifier
- decision stumps
- prediction accuracy
- multiple classifier systems
- decision trees
- random forest
- generalization ability
- multi agent
- watermarking scheme
- majority voting
- classifier ensemble
- multi class
- malicious attacks
- security threats
- ensemble members
- neural network ensemble
- malicious users
- machine learning methods
- security mechanisms
- boosting algorithms
- imbalanced data
- combining classifiers
- denial of service attacks
- cost sensitive
- feature selection
- randomized trees
- evolutionary algorithm
- security protocols
- machine learning
- weak classifiers
- benchmark datasets
- differential evolution