Search Results for author: Thomas Lebrun

Found 1 papers, 0 papers with code

MixNN: Protection of Federated Learning Against Inference Attacks by Mixing Neural Network Layers

no code implementations26 Sep 2021 Antoine Boutet, Thomas Lebrun, Jan Aalmoes, Adrien Baud

Boosted by Machine Learning as a Service (MLaaS), the number of applications relying on ML capabilities is ever increasing.

Attribute Federated Learning +2

Cannot find the paper you are looking for? You can Submit a new open access paper.