FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning

1 code implementation • 5 Apr 2020 • Sameer Wagh, Shruti Tople, Fabrice Benhamouda, Eyal Kushilevitz, Prateek Mittal, Tal Rabin

For private training, we are about 6x faster than SecureNN, 4. 4x faster than ABY3 and about 2-60x more communication efficient.

How to Profile Privacy-Conscious Users in Recommender Systems

no code implementations • 1 Dec 2018 • Fabrice Benhamouda, Marc Joye

More precisely, our protocol enables a user to learn her profile, and from that to predict ratings without the user revealing any personal information.

Recommendation Systems