35 citations · 148 across the 31 of their papers we have counts for
Showing cs.CRShow all
2 papers · 1 filter
cs.CR2020★ 18 cited
SPEED: Secure, PrivatE, and Efficient Deep learning
Arnaud Grivet Sébert, Rafael Pinot, Martin Zuber +2
We introduce a deep learning framework able to deal with strong privacy constraints. Based on collaborative learning, differential privacy and homomorphic encryption, the proposed…
cs.CR2018★ 2 cited
Minimum spanning tree release under differential privacy constraints
Rafael Pinot
We investigate the problem of nodes clustering under privacy constraints when representing a dataset as a graph. Our contribution is threefold. First we formally define the concept…