3 papers · 1 filter
SoK: Privacy-Preserving Collaborative Tree-based Model Learning
Sylvain Chatel, Apostolos Pyrgelis, Juan Ramon Troncoso-Pastoriza +1
Tree-based models are among the most efficient machine learning techniques for data mining nowadays due to their accuracy, interpretability, and simplicity. The recent orthogonal n…
Privacy and Integrity Preserving Computations with CRISP
Sylvain Chatel, Apostolos Pyrgelis, Juan R. Troncoso-Pastoriza +1
In the digital era, users share their personal data with service providers to obtain some utility, e.g., access to high-quality services. Yet, the induced information flows raise p…
Decentralized Privacy-Preserving Proximity Tracing
Carmela Troncoso, Mathias Payer, Jean-Pierre Hubaux +31
This document describes and analyzes a system for secure and privacy-preserving proximity tracing at large scale. This system, referred to as DP3T, provides a technological foundat…