A Privacy-Preserving Distributed Machine Learning Protocol Based on Homomorphic Hash Authentication.
Yang HongLisong WangWeizhi MengJian CaoChunpeng GeQin ZhangRui ZhangPublished in: NSS (2022)
Keyphrases
- privacy preserving
- horizontally partitioned data
- multi party
- secure multiparty computation
- machine learning
- vertically partitioned data
- scalar product
- homomorphic encryption
- horizontally partitioned
- partitioned data
- privacy preserving data mining
- privacy sensitive
- privacy preservation
- lightweight
- privacy preserving classification
- authentication protocol
- data privacy
- distributed systems
- record linkage
- user privacy
- privacy requirements
- private information
- decision trees
- private data
- sensitive information
- sensitive data
- privacy concerns
- fair exchange
- privacy protection
- data perturbation
- preserving privacy
- naive bayesian classification
- data mining
- hash functions