Automatic Fairness Testing of Neural Classifiers through Adversarial Sampling.
Peixin ZhangJingyi WangJun SunXinyu WangGuoliang DongXingen WangTing DaiJin Song DongPublished in: CoRR (2021)
Keyphrases
- neural classifier
- decision trees
- training data
- neural network
- network architecture
- support vector
- test set
- naive bayes
- training samples
- svm classifier
- training stage
- random sampling
- feature selection
- training set
- imbalanced data
- linear classifiers
- statistical tests
- fully automatic
- machine learning
- feature set
- sampling methods
- supervised classification
- test data
- resource allocation
- monte carlo
- machine learning algorithms
- multi agent
- feature extraction
- classification algorithm
- semi automatic
- artificial neural networks