178 citations · 382 across the 14 of their papers we have counts for
4 papers · 1 filter
GECKO: Reconciling Privacy, Accuracy and Efficiency in Embedded Deep Learning
Vasisht Duddu, Antoine Boutet, Virat Shejwalkar
Embedded systems demand on-device processing of data using Neural Networks (NNs) while conforming to the memory, power and computation constraints, leading to an efficiency and acc…
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…