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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 ...
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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...
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06/16/2020
