User Acceptance Criteria for Privacy Preserving Machine Learning Techniques.
Sascha LöbnerSebastian PapeVanessa BracamontePublished in: ARES (2023)
Keyphrases
- privacy preserving
- user acceptance
- privacy preserving data mining
- vertically partitioned data
- privacy preservation
- sensitive information
- end users
- mobile services
- multi party
- data privacy
- machine learning
- privacy protection
- privacy sensitive
- privacy concerns
- horizontally partitioned data
- perceived usefulness
- secure multiparty computation
- scalar product
- sensitive data
- positive effects
- lightweight
- privacy issues
- cognitive style
- private information
- differential privacy
- privacy preserving association rule mining