A Recommender System for Efficient Implementation of Privacy Preserving Machine Learning Primitives Based on FHE.
Imtiyazuddin ShaikAjeet Kumar SinghHarika NarumanchiNitesh EmmadiRajan Mindigal Alasingara BhattacharPublished in: CSCML (2020)
Keyphrases
- efficient implementation
- privacy preserving
- machine learning
- recommender systems
- privacy preserving data mining
- privacy preservation
- collaborative filtering
- multi party
- private information
- vertically partitioned data
- active set
- horizontally partitioned data
- data privacy
- privacy concerns
- sensitive data
- secure multiparty computation
- naive bayesian classification
- sensitive information
- privacy protection
- private data
- privacy requirements
- decision trees
- differential privacy
- privacy preserving association rule mining
- preserving privacy
- privacy issues
- knowledge discovery
- horizontally partitioned
- partitioned data
- text mining
- data perturbation
- matrix factorization
- personal data
- knn
- record linkage
- privacy guarantees
- privacy sensitive
- data analysis
- privacy preserving data mining algorithms