Regularization Can Help Mitigate Poisoning Attacks... with the Right Hyperparameters.
Javier Carnerero-CanoLuis Muñoz-GonzálezPhillippa SpencerEmil C. LupuPublished in: CoRR (2021)
Keyphrases
- hyperparameters
- regularization parameter
- prior information
- model selection
- cross validation
- closed form
- bayesian inference
- random sampling
- support vector
- bayesian framework
- gaussian process
- posterior distribution
- noise level
- incremental learning
- em algorithm
- sample size
- maximum likelihood
- gaussian processes
- incomplete data
- maximum a posteriori
- parameter settings
- grid search
- missing values
- parameter space
- image restoration
- active contours
- probabilistic model
- active learning
- image reconstruction
- markov random field
- nearest neighbor
- pairwise
- data streams