Lessons from the AdKDD'21 Privacy-Preserving ML Challenge.
Eustache DiemertRomain FabreAlexandre GilotteFei JiaBasile LeparmentierJérémie MaryZhonghua QuUgo TanielianHui YangPublished in: CoRR (2022)
Keyphrases
- privacy preserving
- privacy preserving data mining
- vertically partitioned data
- privacy preservation
- data privacy
- data transformation
- private information
- privacy concerns
- multi party
- record linkage
- horizontally partitioned data
- private data
- privacy requirements
- privacy preserving association rule mining
- data perturbation
- personal data
- differential privacy
- sensitive information
- privacy sensitive
- sensitive data
- naive bayesian classification
- data anonymization
- partitioned data
- database
- horizontally partitioned
- scalar product
- privacy preserving classification
- search engine
- preserving privacy
- privacy protection