HEaaN-STAT: A Privacy-Preserving Statistical Analysis Toolkit for Large-Scale Numerical, Ordinal, and Categorical Data.
Younho LeeJinyeong SeoYujin NamJiseok ChaeJung Hee CheonPublished in: IEEE Trans. Dependable Secur. Comput. (2024)
Keyphrases
- privacy preserving
- categorical data
- statistical analysis
- numerical data
- categorical attributes
- privacy preserving data mining
- cluster analysis
- vertically partitioned data
- privacy preservation
- numerical attributes
- multi party
- private information
- attribute values
- privacy concerns
- data privacy
- privacy preserving association rule mining
- privacy guarantees
- sensitive data
- privacy issues
- sensitive information
- privacy sensitive
- naive bayesian classification
- scalar product
- privacy protection
- preserving privacy
- data perturbation
- real world
- privacy requirements
- private data
- partitioned data
- horizontally partitioned
- distributed data mining
- learning algorithm
- data sets
- horizontally partitioned data