14 citations · 21 across the 6 of their papers we have counts for
6 papers
Post-Quantum Oblivious Transfer from Smooth Projective Hash Functions with Grey Zone
Slim Bettaieb, Loïc Bidoux, Olivier Blazy +2
Oblivious Transfer (OT) is a major primitive for secure multiparty computation. Indeed, combined with symmetric primitives along with garbled circuits, it allows any secure functio…
Security Analysis of the EDHOC protocol
Baptiste Cottier, David Pointcheval
Ephemeral Diffie-Hellman Over COSE (EDHOC) aims at being a very compact and lightweight authenticated Diffie-Hellman key exchange with ephemeral keys. It is expected to provide mut…
Differential Privacy Guarantees for Stochastic Gradient Langevin Dynamics
Théo Ryffel, Francis Bach, David Pointcheval
We analyse the privacy leakage of noisy stochastic gradient descent by modeling Rényi divergence dynamics with Langevin diffusions. Inspired by recent work on non-stochastic algori…
Secure Decision Forest Evaluation
Slim Bettaieb, Loic Bidoux, Olivier Blazy +2
Decision forests are classical models to efficiently make decision on complex inputs with multiple features. While the global structure of the trees or forests is public, sensitive…
ARIANN: Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing
Théo Ryffel, Pierre Tholoniat, David Pointcheval +1
We propose AriaNN, a low-interaction privacy-preserving framework for private neural network training and inference on sensitive data. Our semi-honest 2-party computation protocol…
Partially Encrypted Machine Learning using Functional Encryption
Theo Ryffel, Edouard Dufour-Sans, Romain Gay +2
Machine learning on encrypted data has received a lot of attention thanks to recent breakthroughs in homomorphic encryption and secure multi-party computation. It allows outsourcin…