5 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.CR2020★ 5 cited
FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning
Sameer Wagh, Shruti Tople, Fabrice Benhamouda +3
We propose Falcon, an end-to-end 3-party protocol for efficient private training and inference of large machine learning models. Falcon presents four main advantages - (i) It is hi…
cs.CR2018
How to Profile Privacy-Conscious Users in Recommender Systems
Fabrice Benhamouda, Marc Joye
Matrix factorization is a popular method to build a recommender system. In such a system, existing users and items are associated to a low-dimension vector called a profile. The pr…
cs.DS2016★ 1 cited
Optimization of Bootstrapping in Circuits
Fabrice Benhamouda, Tancrède Lepoint, Claire Mathieu +1
In 2009, Gentry proposed the first Fully Homomorphic Encryption (FHE) scheme, an extremely powerful cryptographic primitive that enables to perform computations, i.e., to evaluate…