S++: A Fast and Deployable Secure-Computation Framework for Privacy-Preserving Neural Network Training.
Prashanthi RamachandranShivam AgarwalArup MondalAastha ShahDebayan GuptaPublished in: CoRR (2021)
Keyphrases
- privacy preserving
- multi party
- vertically partitioned data
- privacy preserving data mining algorithms
- horizontally partitioned data
- privacy preserving data mining
- neural network training
- scalar product
- partitioned data
- privacy preservation
- user privacy
- sensitive data
- private information
- secure multiparty computation
- privacy preserving association rule mining
- evolutionary algorithm
- privacy concerns
- genetic algorithm
- preserving privacy
- homomorphic encryption
- privacy sensitive
- training algorithm