Using histopathology latent diffusion models as privacy-preserving dataset augmenters improves downstream classification performance.
Jan Moritz NiehuesGustav Müller-FranzesYoni SchirrisSophia J. WagnerMichael JendruschMatthias KloorAlexander T. PearsonHannah Sophie MutiKatherine Jane HewittGregory Patrick VeldhuizenLaura ZigutyteDaniel TruhnJakob Nikolas KatherPublished in: Comput. Biol. Medicine (2024)
Keyphrases
- privacy preserving
- privacy preserving classification
- support vector machine classification
- privacy preserving data mining
- privacy preservation
- diffusion models
- naive bayesian classification
- vertically partitioned data
- decision trees
- multi party
- sensitive information
- private information
- privacy concerns
- data privacy
- private data
- differential privacy
- privacy protection
- feature extraction
- privacy issues
- preserving privacy
- data perturbation
- feature space
- support vector
- horizontally partitioned data
- data mining
- information diffusion
- sensitive data
- diffusion model
- complex networks
- supply chain
- secure multiparty computation
- privacy preserving association rule mining