research
∙
04/06/2023
When approximate design for fast homomorphic computation provides differential privacy guarantees
While machine learning has become pervasive in as diversified fields as ...
share
research
∙
06/23/2022
Homomorphic Sortition – Secret Leader Election for Blockchain
In a secret single leader election protocol (SSLE), one of the system me...
research
∙
05/09/2022
Protecting Data from all Parties: Combining FHE and DP in Federated Learning
This paper tackles the problem of ensuring training data privacy in a fe...
research
∙
09/10/2021
