Calibrating Privacy Budgets for Locally Private Graph Neural Networks.
Wentao DuXinyu MaWenxiang DongDong ZhangChi ZhangQibin SunPublished in: NaNA (2021)
Keyphrases
- neural network
- privacy preserving
- private data
- private information
- pattern recognition
- graph theory
- artificial neural networks
- structured data
- privacy preserving data mining
- graph representation
- fuzzy logic
- personal information
- privacy policies
- privacy violations
- graph model
- random walk
- privacy guarantees
- homomorphic encryption
- directed acyclic graph
- graph structure
- back propagation
- genetic algorithm
- private information retrieval
- sensitive information
- camera calibration
- bipartite graph
- neural network model
- graph matching
- data sharing
- personal data
- graph theoretic
- differential privacy
- privacy preservation
- multilayer perceptron
- privacy concerns
- neural nets
- statistical databases
- spanning tree
- focal length
- multi layer