SMGEA: A New Ensemble Adversarial Attack Powered by Long-Term Gradient Memories.
Zhaohui CheAli BorjiGuangtao ZhaiSuiyi LingJing LiXiongkuo MinGuodong GuoPatrick Le CalletPublished in: IEEE Trans. Neural Networks Learn. Syst. (2022)
Keyphrases
- long term
- short term
- ensemble methods
- random forests
- ensemble learning
- neural network
- multi agent
- random forest
- data sets
- countermeasures
- classifier ensemble
- training set
- edge detection
- base classifiers
- regression problems
- malicious users
- power analysis
- denial of service attacks
- gradient information
- secret key
- prediction accuracy
- data streams
- data mining
- encryption algorithm
- detection mechanism
- training data
- multiscale
- attack detection
- neural network ensemble
- key exchange protocol