Towards Minimising Perturbation Rate for Adversarial Machine Learning with Pruning.
Zhiyu ZhuJiayu ZhangZhibo JinXinyi WangMinhui XueJun ShenKim-Kwang Raymond ChooHuaming ChenPublished in: ECML/PKDD (1) (2023)
Keyphrases
- machine learning
- learning algorithm
- search space
- machine learning algorithms
- support vector machine
- active learning
- learning tasks
- pruning method
- decision trees
- learning systems
- explanation based learning
- machine learning methods
- perturbation method
- semi supervised learning
- information extraction
- inductive logic programming
- inductive learning
- machine learning approaches
- growth rate
- supervised machine learning
- computational intelligence
- natural language
- artificial intelligence
- data mining
- knowledge acquisition
- text classification
- databases
- transfer learning
- natural language processing
- statistical methods
- knowledge discovery
- training set
- computer science
- pattern recognition
- multi agent
- information retrieval