32 citations · 33 across the 3 of their papers we have counts for
8 papers
I-GWAS: Privacy-Preserving Interdependent Genome-Wide Association Studies
Túlio Pascoal, Jérémie Decouchant, Antoine Boutet +1
Genome-wide Association Studies (GWASes) identify genomic variations that are statistically associated with a trait, such as a disease, in a group of individuals. Unfortunately, ca…
Inferring Sensitive Attributes from Model Explanations
Vasisht Duddu, Antoine Boutet
Model explanations provide transparency into a trained machine learning model's blackbox behavior to a model builder. They indicate the influence of different input attributes to i…
Quantifying Privacy Leakage in Graph Embedding
Vasisht Duddu, Antoine Boutet, Virat Shejwalkar
Graph embeddings have been proposed to map graph data to low dimensional space for downstream processing (e.g., node classification or link prediction). With the increasing collect…
DESIRE: A Third Way for a European Exposure Notification System Leveraging the best of centralized and decentralized systems
Claude Castelluccia, Nataliia Bielova, Antoine Boutet +4
This document presents an evolution of the ROBERT protocol that decentralizes most of its operations on the mobile devices. DESIRE is based on the same architecture than ROBERT but…
DYSAN: Dynamically sanitizing motion sensor data against sensitive inferences through adversarial networks
Claude Rosin Ngueveu, Antoine Boutet, Carole Frindel +3
With the widespread adoption of the quantified self movement, an increasing number of users rely on mobile applications to monitor their physical activity through their smartphones…
The Long Road to Computational Location Privacy: A Survey
Primault Vincent, Boutet Antoine, Ben Mokhtar Sonia +1
The widespread adoption of continuously connected smartphones and tablets developed the usage of mobile applications, among which many use location to provide geolocated services.…