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Security Guidelines for Implementing Homomorphic Encryption
Fully Homomorphic Encryption (FHE) is a cryptographic primitive that allows performing arbitrary operations on encrypted data. Since …
Jean-Philippe Bossuat, Rosario Cammarota, Jung Hee Cheon, Ilaria Chillotti, Benjamin R. Curtis, Wei Dai, Huijing Gong, Erin Hales, Duhyeong Kim, Bryan Kumara, Changmin Lee, Xianhui Lu, Carsten Maple, Alberto Pedrouzo-Ulloa, Rachel Player, Luis Antonio Ruiz Lopez, Yongsoo Song, Donggeon Yhee, Bahattin Yildiz
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POSEIDON: Privacy-Preserving Federated Neural Network Learning
In this paper, we address the problem of privacy-preserving training and evaluation of neural networks in an $N$-party, federated …
Sinem Sav, Apostolos Pyrgelis, Juan R. Troncoso-Pastoriza, David Froelisher, Jean-Philippe Bossuat, Joao Sa Sousa, Jean-Pierre Hubaux
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slytHErin: An Agile Framework for Encrypted Deep Neural Network Inference
Homomorphic encryption (HE), which allows computations on encrypted data, is an enabling technology for confidential cloud computing. …
Francesco Intoci, Sinem Sav, Apostolos Pyrgelis, Jean-Philippe Bossuat, Juan R. Troncoso-Pastoriza, Jean-Pierre Hubaux
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