Generated Distributions Are All You Need for Membership Inference Attacks Against Generative Models.
Minxing ZhangNing YuRui WenMichael BackesYang ZhangPublished in: WACV (2024)
Keyphrases
- generative model
- mixture model
- probabilistic model
- discriminative models
- discriminative learning
- hierarchical hidden markov models
- probability distribution
- generative and discriminative models
- maximum entropy principle
- prior knowledge
- em algorithm
- hidden variables
- conditional random fields
- latent dirichlet allocation
- generative process
- object categories
- representational power
- topic models
- data sets
- supervised learning
- semi supervised
- exponential family
- expectation maximization
- d objects
- information extraction
- discriminative methods
- feature space
- learning algorithm