Efficient Pruning for Machine Learning Under Homomorphic Encryption

Author:

Aharoni Ehud,Baruch Moran,Bose Pradip,Buyuktosunoglu Alper,Drucker Nir,Pal Subhankar,Pelleg Tomer,Sarpatwar Kanthi,Shaul Hayim,Soceanu Omri,Vaculin Roman

Publisher

Springer Nature Switzerland

Reference31 articles.

1. Aharoni, E., Drucker, N., Ezov, G., Shaul, H., Soceanu, O.: Complex encoded tile tensors: accelerating encrypted analytics. IEEE Secur. Priv. 20, 35–43 (2021)

2. Aharoni, E., et al.: HELayers: a tile tensors framework for large neural networks on encrypted data. PoPETs (2023)

3. Akavia, A., Vald, M.: On the privacy of protocols based on CPA-secure homomorphic encryption. Cryptology ePrint Archive (2021)

4. Albrecht, M., et al.: Homomorphic encryption security standard. Technical report, HomomorphicEncryption.org, November 2018

5. Baruch, M., et al.: Sensitive tuning of large scale CNNs for E2E secure prediction using homomorphic encryption. arXiv preprint arXiv:2304.14836 (2023)

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