Cryptography and Security · Computer Science
Data Privacy with Homomorphic Encryption in Neural Networks Training and Inference
Ivone Amorim, Eva Maia, Pedro Barbosa, Isabel Praça
2023-05-04
Cryptography and Security · Computer Science
Training Machine Learning Models on Encrypted Data: A Privacy-Preserving Framework using Homomorphic Encryption
Alexandre Marques, Beatriz Sá, Rui Botelho, Pedro Pinto
2026-04-28
Machine Learning · Computer Science
Crypto-Nets: Neural Networks over Encrypted Data
Pengtao Xie, Misha Bilenko, Tom Finley, Ran Gilad-Bachrach +2
2014-12-25
Cryptography and Security · Computer Science
Neural Network Training on Encrypted Data with TFHE
Luis Montero, Jordan Frery, Celia Kherfallah, Roman Bredehoft +1
2024-01-30
Cryptography and Security · Computer Science
Homomorphic Encryption and Federated Learning based Privacy-Preserving CNN Training: COVID-19 Detection Use-Case
Febrianti Wibawa, Ferhat Ozgur Catak, Salih Sarp, Murat Kuzlu +1
2022-04-19
Cryptography and Security · Computer Science
Neural Network Training With Homomorphic Encryption
Kentaro Mihara, Ryohei Yamaguchi, Miguel Mitsuishi, Yusuke Maruyama
2020-12-29
Machine Learning · Statistics
Deep Learning with Differential Privacy
Martín Abadi, Andy Chu, Ian Goodfellow, H. Brendan McMahan +3
2018-12-21
Cryptography and Security · Computer Science
Privacy-Preserving Federated Recurrent Neural Networks
Sinem Sav, Abdulrahman Diaa, Apostolos Pyrgelis, Jean-Philippe Bossuat +1
2023-05-04
Machine Learning · Statistics
Learning Anonymized Representations with Adversarial Neural Networks
Clément Feutry, Pablo Piantanida, Yoshua Bengio, Pierre Duhamel
2018-02-27
Cryptography and Security · Computer Science
Privacy-Preserving Federated Learning via Homomorphic Adversarial Networks
Wenhan Dong, Chao Lin, Xinlei He, Shengmin Xu +1
2025-09-09