PPDDS: A Privacy-Preserving Disease Diagnosis Scheme Based on the Secure Mahalanobis Distance Evaluation Model.
Mingwu ZhangYimeng ZhangGang ShenPublished in: IEEE Syst. J. (2022)
Keyphrases
- privacy preserving
- evaluation model
- mahalanobis distance
- horizontally partitioned data
- disease diagnosis
- vertically partitioned data
- scalar product
- secure multiparty computation
- multi party
- sensitive data
- privacy preserving data mining
- evaluation method
- noise model
- homomorphic encryption
- covariance matrix
- euclidean distance
- data privacy
- private information
- metric learning
- user privacy
- sensitive information
- privacy protection
- bp neural network
- differential privacy
- distance metric
- medical images
- comparative analysis
- data distribution
- low dimensional
- distance measure