homomorphic encryption

Pasta: A Case for Hybrid Homomorphic Encryption

CryptoTL: Private, efficient and secure transfer learning

Big data has been a pervasive catchphrase in recent years, but dealing with data scarcity has become a crucial question for many real-world deep learning (DL) applications. A popular methodology to efficiently enable the training of DL models to …

Pasta: A Case for Hybrid Homomorphic Encryption

The idea of hybrid homomorphic encryption (HHE) is to drastically reduce bandwidth requirements when using homomorphic encryption (HE) at the cost of more expensive computations in the encrypted domain. To this end, various dedicated schemes for …

Open Source Framework for Hybrid Homomorphic Encryption

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