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

11 citations · 11 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2021★ 11 cited

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

Antoine Boutet, Thomas Lebrun, Jan Aalmoes +1

Machine Learning (ML) has emerged as a core technology to provide learning models to perform complex tasks. Boosted by Machine Learning as a Service (MLaaS), the number of applicat…