13-16 juin 2022 Châtenay-sur-Seine, Seine-et-Marne (France)

Programme

‹ mardi 14 juin 2022 ›
08:00
09:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
18:00
19:00
20:00
21:00
›8:30 (15min)
Mots de bienvenue
›8:45 (1h)
Conférence plénière - L'éthique par conception dans le calcul décentralisé
Josep Domingo-Ferrer, animée par Maryline Laurent
›9:45 (1h15)
Tracking
Jean-Francois Couchot
›10:10 (25min)
DRAWNAPART: A Device Identification Technique based on Remote GPU Fingerprinting
Naif Mehanna Tomer Laor, Antonin Durey, Vitaly Dyadyuk, Pierre Laperdrix, Clémentine Maurice, Yossi Oren, Rouvoy Romain, Walter Rudametkin, Yuval Yarom
›10:35 (25min)
Device Re-identification in LoRaWAN through Messages Linkage
Samuel Pélissier, Mathieu Cunche, Vincent Roca, Didier Donsez
›11:00 (30min)
Pause
›11:30 (25min)
Random Sampling Plus Fake Data: Multidimensional Frequency Estimates With Local Differential Privacy
Héber H. Arcolezi , Jean-François Couchot, Xiao Xiaokui, Bechara Al Bouna
›11:30 (1h15)
Anonymisation
Mathieu Cunche
›11:55 (25min)
Multi-Freq-LDPy: Multiple Frequency Estimation Under Local Differential Privacy in Python
Héber H. Arcolezi, Jean-François Couchot, Sébastien Gambs, Catuscia Palamidessi, Majid Zolfaghari
›12:20 (25min)
Collecte de données anonymisée des travailleurs des plateformes
Joris Duguépéroux, Gaspard Defréville, Lucas Verney, Nicolas Deffieux
›12:45 (1h15)
Déjeuner
›14:00 (25min)
Edgelet Computing: Pushing Query Processing and Liability at the Extreme Edge of the Network
Ludovic Javet , Nicolas Anciaux, Luc Bouganim, Philippe Pucheral
›14:00 (1h40)
Réseaux, IoT et matériel
Nesrine Kaaniche
›14:25 (25min)
Integrating Usage Control into Distributed Ledger Technology for Internet of Things Privacy
Nathanaël Denis, Maryline Laurent, Sophie Chabridon
›14:50 (25min)
AUTOPSY : AUtomotive data-Tainting fOr Privacy aSsurance sYstem
Reda Yaich, Chah Badreddine, Matthias Hiller, Sarah Sayed-Winkler, Emmanuel D'Arfeuille, Anis Bkakria, Miguel Garcia
›15:40 (30min)
Pause
›16:10 (25min)
Dikaios: Privacy Auditing of Algorithmic Fairness via Attribute Inference Attacks
Jan Aalmoes, Thomas Lebrun, Jan Aalmoes, Vasisht Duddu, Antoine Boutet
›16:10 (50min)
Machine Learning et privacy
Josep Domingo-Ferrer
›16:35 (25min)
MixNN: Protection of Federated Learning Against Inference Attacks by Mixing Neural Network Layers
Antoine Boutet, Thomas Lebrun, Adrien Baud, Jan Aalmoes
›17:00 (25min)
Nettoyage des dates de documents médicaux
Jean-François Couchot, Yakini Tchouka
›17:00 (50min)
Anonymisation
Benjamin Nguyen
›17:25 (25min)
Three-way optimization of privacy and utility of location data
Sayan Biswas, Catuscia Palamidessi
›19:30 (2h)
Dîner
Session
Discours
Logistique
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