Privacy-Preserving Multi-Party Machine Learning for Object Detection.
Imen ChakrounTom Vander AaRoel WuytsWilfried VerarchtPublished in: GCAIoT (2021)
Keyphrases
- privacy preserving
- multi party
- object detection
- machine learning
- privacy preserving data mining
- privacy preserving distributed data mining
- vertically partitioned data
- privacy preservation
- privacy protection
- private data
- sensitive information
- private information
- data perturbation
- secure multiparty computation
- naive bayesian classification
- preserving privacy
- artificial intelligence
- sensitive data
- privacy concerns
- privacy preserving association rule mining
- decision trees
- horizontally partitioned
- privacy issues
- privacy sensitive
- privacy requirements
- privacy guarantees
- data publishing
- differential privacy
- data privacy
- feature selection
- support vector machine
- record linkage
- social networking
- horizontally partitioned data
- data mining