Man-in-the-Middle Attacks against Machine Learning Classifiers via Malicious Generative Models.
Derui WangChaoran LiSheng WenSurya NepalYang XiangPublished in: CoRR (2019)
Keyphrases
- generative model
- machine learning
- machine learning algorithms
- feature representations
- decision trees
- probabilistic model
- naive bayes models
- feature selection
- mixture model
- discriminative models
- hierarchical models
- prior knowledge
- discriminative learning
- conditional random fields
- support vector
- deep belief networks
- em algorithm
- hierarchical hidden markov models
- training data
- generative and discriminative models
- semi supervised learning
- computer vision
- semi supervised
- object categories
- information extraction
- mixed membership
- naive bayes
- expectation maximization
- learning algorithm
- data mining
- reinforcement learning
- text mining
- text classification
- active learning
- decision boundary
- class labels
- graphical models
- unsupervised learning
- data sets