MD-ML: Super Fast Privacy-Preserving Machine Learning for Malicious Security with a Dishonest Majority.
Boshi YuanShixuan YangYongxiang ZhangNing DingDawu GuShi-Feng SunPublished in: USENIX Security Symposium (2024)
Keyphrases
- privacy preserving
- semi honest
- machine learning
- secure multiparty computation
- sensitive data
- data privacy
- preserving privacy
- privacy preserving data mining
- privacy issues
- personal data
- privacy concerns
- privacy preservation
- privacy requirements
- vertically partitioned data
- homomorphic encryption
- data security
- multi party
- private information
- data perturbation
- privacy guarantees
- user privacy
- privacy preserving association rule mining
- data mining
- sensitive information
- decision trees
- privacy protection
- privacy sensitive
- horizontally partitioned
- intrusion detection
- horizontally partitioned data
- scalar product
- feature selection
- partitioned data
- information security
- record linkage
- data publishing
- private data