Lessons from the AdKDD'21 Privacy-Preserving ML Challenge.
Eustache DiemertRomain FabreAlexandre GilotteFei JiaBasile LeparmentierJérémie MaryZhonghua QuUgo TanielianHui YangPublished in: WWW (2022)
Keyphrases
- privacy preserving
- privacy preserving data mining
- vertically partitioned data
- privacy preservation
- data privacy
- private data
- privacy concerns
- multi party
- privacy sensitive
- preserving privacy
- sensitive information
- horizontally partitioned data
- scalar product
- privacy guarantees
- data transformation
- differential privacy
- record linkage
- sensitive data
- data perturbation
- data anonymization
- privacy protection
- partitioned data
- private information
- data publishing
- grand challenge
- privacy requirements
- data mining techniques