Stealing Hyperparameters in Machine Learning.
Binghui WangNeil Zhenqiang GongPublished in: IEEE Symposium on Security and Privacy (2018)
Keyphrases
- hyperparameters
- model selection
- machine learning
- cross validation
- closed form
- bayesian framework
- bayesian inference
- prior information
- gaussian process
- random sampling
- sample size
- support vector
- maximum a posteriori
- em algorithm
- noise level
- gaussian processes
- incremental learning
- regularization parameter
- decision trees
- incomplete data
- maximum likelihood
- machine learning algorithms
- learning tasks
- feature selection
- learning algorithm
- machine learning methods
- missing values
- grid search
- parameter space
- data mining
- error rate
- support vector machine
- probabilistic model
- training data
- image processing