Adaptive differential privacy preserving based on multi-objective optimization in deep neural networks.
Tian FanZhihua CuiPublished in: Concurr. Comput. Pract. Exp. (2021)
Keyphrases
- privacy preserving
- multi objective optimization
- neural network
- multi objective
- evolutionary algorithm
- genetic algorithm
- privacy preservation
- privacy preserving data mining
- private information
- vertically partitioned data
- multi objective optimization problems
- multiple objectives
- multi party
- pareto optimal
- secure multiparty computation
- differential evolution
- multi objective genetic algorithms
- privacy sensitive
- private data
- horizontally partitioned data
- record linkage
- data privacy
- sensitive information
- scalar product
- nsga ii
- privacy concerns
- bi objective
- privacy issues
- preserving privacy
- partitioned data
- differential privacy
- data mining
- multi objective evolutionary algorithms
- objective function
- optimization algorithm
- sensitive data
- multi objective genetic algorithm
- data publishing
- data perturbation
- genetic programming
- pareto optimal set
- feature space
- privacy protection
- horizontally partitioned
- naive bayesian classification
- shortest path
- privacy preserving association rule mining