GaitPrivacyON: Privacy-Preserving Mobile Gait Biometrics using Unsupervised Learning.
Paula Delgado-SantosRubén TolosanaRichard M. GuestRubén Vera-RodríguezFarzin DeraviAythami MoralesPublished in: CoRR (2021)
Keyphrases
- privacy preserving
- unsupervised learning
- human identification
- gait recognition
- person identification
- gait analysis
- privacy preserving data mining
- privacy sensitive
- privacy preservation
- mobile devices
- mobile phone
- vertically partitioned data
- supervised learning
- private information
- data privacy
- sensitive information
- privacy concerns
- scalar product
- multi party
- record linkage
- private data
- preserving privacy
- privacy requirements
- sensitive data
- privacy preserving classification
- pattern recognition
- semi supervised
- partitioned data
- data perturbation
- dimensionality reduction
- mobile users
- mobile applications
- privacy issues
- secure multiparty computation
- mobile environments
- privacy preserving association rule mining
- horizontally partitioned data
- text classification
- horizontally partitioned
- naive bayesian classification
- biometric systems