Adversarial Active Learning.
Brad MillerAlex KantchelianSadia AfrozRekha BachwaniEdwin DauberLing HuangMichael Carl TschantzAnthony D. JosephJ. Doug TygarPublished in: AISec@CCS (2014)
Keyphrases
- active learning
- label noise
- random sampling
- selective sampling
- machine learning
- learning strategies
- semi supervised
- batch mode active learning
- multi agent
- annotation effort
- sample selection
- supervised learning
- training set
- pool based active learning
- labeled data
- database
- experimental design
- class imbalance
- imbalanced data classification
- unlabeled data
- semi supervised learning
- online learning
- learning process
- neural network
- cost sensitive
- multi class
- pairwise
- clustering algorithm
- real world