AsymML: An Asymmetric Decomposition Framework for Privacy-Preserving DNN Training and Inference.
Yue NiuRamy E. AliSalman AvestimehrPublished in: CoRR (2021)
Keyphrases
- privacy preserving
- privacy preserving data mining algorithms
- multi party
- privacy preservation
- private data
- training process
- privacy preserving data mining
- privacy protection
- private information
- sensitive information
- vertically partitioned data
- privacy concerns
- privacy preserving association rule mining
- data privacy
- privacy guarantees
- preserving privacy
- secure multiparty computation
- naive bayesian classification