slytHErin: An Agile Framework for Encrypted Deep Neural Network Inference. (arXiv:2305.00690v1 [cs.CR])

Homomorphic encryption (HE), which allows computations on encrypted data, is
an enabling technology for confidential cloud computing. One notable example is
privacy-preserving Prediction-as-a-Service (PaaS), where machine-learning
predictions are computed on encrypted data. However, developing HE-based
solutions for encrypted PaaS is a tedious task which requires a careful design
that predominantly depends on the deployment scenario and on leveraging the
characteristics of modern HE schemes. Prior works on privacy-preserving PaaS
focus solely on protecting the confidentiality of the client data uploaded …

agile as-a-service cloud cloud computing computing confidential data design encrypted encrypted data encryption framework homomorphic encryption machine network neural network paas prediction predictions privacy service solutions task technology