2024
All Rivers Run to the Sea: Private Learning with Asymmetric Flows
CVPR 2024poster
Data privacy is of great concern in cloud machine-learning service platforms when sensitive data are exposed to service providers. While private computing environments (e.g. secure enclaves) and cryptographic approaches (e.g. homomorphic encryption) provide strong privacy protection their computing…