539 citations · 1.1k across the 20 of their papers we have counts for
25 papers
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-Preserving and Efficient Verification of the Outcome in Genome-Wide Association Studies
Anisa Halimi, Leonard Dervishi, Erman Ayday +5
Providing provenance in scientific workflows is essential for reproducibility and auditability purposes. Workflow systems model and record provenance describing the steps performed…
Revolutionizing Medical Data Sharing Using Advanced Privacy Enhancing Technologies: Technical, Legal and Ethical Synthesis
James Scheibner, Jean Louis Raisaro, Juan Ramón Troncoso-Pastoriza +4
Multisite medical data sharing is critical in modern clinical practice and medical research. The challenge is to conduct data sharing that preserves individual privacy and data usa…
POSEIDON: Privacy-Preserving Federated Neural Network Learning
Sinem Sav, Apostolos Pyrgelis, Juan R. Troncoso-Pastoriza +4
In this paper, we address the problem of privacy-preserving training and evaluation of neural networks in an -party, federated learning setting. We propose a novel system, POSEI…
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…