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09/11/2023
Practical Homomorphic Aggregation for Byzantine ML
Due to the large-scale availability of data, machine learning (ML) algor...
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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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06/23/2022
Homomorphic Sortition – Secret Leader Election for Blockchain
In a secret single leader election protocol (SSLE), one of the system me...
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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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09/10/2021
RandSolomon: optimally resilient multi-party random number generation protocol
Multi-party random number generation is a key building-block in many pra...
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06/16/2020