Privacy-Preserving Energy-Based Generative Models for Marginal Distribution Protection.
Robert E. TillmanTucker BalchManuela VelosoPublished in: Trans. Mach. Learn. Res. (2023)
Keyphrases
- generative model
- privacy preserving
- marginal distributions
- privacy protection
- joint distribution
- probability distribution
- random variables
- probabilistic model
- privacy preserving data mining
- bayesian framework
- linear combination
- private information
- mixture model
- gaussian distribution
- em algorithm
- discriminative learning
- conditional random fields
- sensitive information
- expectation maximization
- contingency tables
- data privacy
- topic models
- graphical models
- semi supervised
- prior knowledge
- bayesian networks
- differential privacy
- maximum entropy
- face recognition
- data mining
- data sets