Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?
Vikash SehwagSaeed MahloujifarTinashe HandinaSihui DaiChong XiangMung ChiangPrateek MittalPublished in: ICLR (2022)
Keyphrases
- generative model
- discriminative learning
- probabilistic model
- parameter learning
- prior knowledge
- learning algorithm
- boltzmann machine
- training data
- active learning
- image classification
- mixture model
- hidden variables
- learned models
- expectation maximization
- probability distribution
- learning process
- representational power
- reinforcement learning