Details
Title
Bossuat, Jean-Philippe
Sciper ID
193508
Affiliated labs
LDS
Publications
Bootstrapping for Approximate Homomorphic Encryption with Negligible Failure-Probability by Using Sparse-Secret Encapsulation
Efficient Bootstrapping for Approximate Homomorphic Encryption with Non-sparse Keys
Lattigo: A multiparty homomorphic encryption library in Go
POSEIDON: Privacy-Preserving Federated Neural Network Learning
Privacy-Preserving Federated Recurrent Neural Networks
Scalable Privacy-Preserving Distributed Learning
System and method for privacy-preserving distributed training of machine learning models on distributed datasets
System and method for privacy-preserving distributed training of neural network models on distributed datasets
Ultrafast homomorphic encryption models enable secure outsourcing of genotype imputation
Efficient Bootstrapping for Approximate Homomorphic Encryption with Non-sparse Keys
Lattigo: A multiparty homomorphic encryption library in Go
POSEIDON: Privacy-Preserving Federated Neural Network Learning
Privacy-Preserving Federated Recurrent Neural Networks
Scalable Privacy-Preserving Distributed Learning
System and method for privacy-preserving distributed training of machine learning models on distributed datasets
System and method for privacy-preserving distributed training of neural network models on distributed datasets
Ultrafast homomorphic encryption models enable secure outsourcing of genotype imputation
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