SHAPER: A General Architecture for Privacy-Preserving Primitives in Secure Machine Learning.
Ziyuan LiangQi'ao JinZhiyong WangZhaohui ChenZhen GuYanheng LuFan ZhangPublished in: IACR Trans. Cryptogr. Hardw. Embed. Syst. (2024)
Keyphrases
- privacy preserving
- vertically partitioned data
- machine learning
- scalar product
- secure multiparty computation
- sensitive data
- horizontally partitioned data
- multi party
- homomorphic encryption
- privacy preserving data mining
- user privacy
- horizontally partitioned
- privacy protection
- privacy preservation
- private information
- data privacy
- privacy sensitive
- privacy concerns
- sensitive information
- privacy preserving association rule mining
- decision trees
- private data
- privacy issues
- secure multi party computation
- feature selection
- naive bayesian classification
- data publishing
- data security
- differential privacy
- record linkage
- data mining
- data perturbation
- privacy requirements
- privacy guarantees