A systematic review of homomorphic encryption and its contributions in healthcare industry
K Munjal, R Bhatia - Complex & Intelligent Systems, 2023 - Springer
Cloud computing and cloud storage have contributed to a big shift in data processing and its
use. Availability and accessibility of resources with the reduction of substantial work is one of …
use. Availability and accessibility of resources with the reduction of substantial work is one of …
A survey on homomorphic encryption schemes: Theory and implementation
Legacy encryption systems depend on sharing a key (public or private) among the peers
involved in exchanging an encrypted message. However, this approach poses privacy …
involved in exchanging an encrypted message. However, this approach poses privacy …
Privacy and security issues in deep learning: A survey
X Liu, L ** enables efficient homomorphic inference of deep neural networks
In many cases, machine learning and privacy are perceived to be at odds. Privacy concerns
are especially relevant when the involved data are sensitive. This paper deals with the …
are especially relevant when the involved data are sensitive. This paper deals with the …
Oblivious neural network predictions via minionn transformations
Machine learning models hosted in a cloud service are increasingly popular but risk privacy:
clients sending prediction requests to the service need to disclose potentially sensitive …
clients sending prediction requests to the service need to disclose potentially sensitive …