Man-in-the-Middle Attacks Against Machine Learning Classifiers Via Malicious Generative Models.
Derui WangChaoran LiSheng WenSurya NepalYang XiangPublished in: IEEE Trans. Dependable Secur. Comput. (2021)
Keyphrases
- generative model
- machine learning
- machine learning algorithms
- decision trees
- feature representations
- probabilistic model
- naive bayes models
- mixture model
- discriminative models
- training data
- maximum entropy principle
- discriminative learning
- feature selection
- hierarchical models
- support vector
- naive bayes
- learning algorithm
- em algorithm
- information extraction
- semi supervised
- semi supervised learning
- computer vision
- deep belief networks
- generative and discriminative models
- conditional random fields
- prior knowledge
- reinforcement learning
- support vector machine
- learning tasks
- active learning
- feature set
- training set
- text classification
- kernel methods
- co training
- class labels
- text mining
- supervised learning
- natural images
- data mining
- hierarchical hidden markov models
- discriminative methods
- mixed membership
- object categories
- expectation maximization
- training examples
- training samples