2021

From Design Requirements to Effective Privacy Notifications: Empowering Users of Online Services to Make Informed Decisions

Patrick Murmann, Farzaneh Karegar
International Journal of Human–Computer Interaction
2021

WeStat: a Privacy-Preserving Mobile Data Usage Statistics System

Sébastien Canard, Nicolas Desmoulins, Sébastien Hallay, Adel Hamdi, Dominique le Hello
Workshop on Security and Privacy analytics
2021

A collaborative training approach for stress detection

E. Ciceri, Marco Mosconi, Boris Rozenberg, Ron Shmelkin
CIBB 2021
2021

Privacy-preserving Density-based Clustering

Beyza Bozdemir, Sébastien Canard, Orhan Ermis, Helen Möllering, Melek Önen, Thomas Schneider
ASIACCS 21
2021

Traiter des données multimédia chiffrées grâce au chiffrement homomorphe

Sébastien Canard, Sergiu Carpov, Caroline Fontaine, Renaud Sirdey
CCSD Le Centre pour la Communication Scientifique Direct
2021

Vision: A Noisy Picture or a Picker Wheel to Spin? Exploring Suitable Metaphors for Differentially Private Data Analyses

Farzaneh Karegar, Simone Fischer-Hübner
EuroUSEC
2021

Machine Learning-based Analysis of Encrypted Medical Data in the Cloud: Qualitative Study of Expert Stakeholders'Perspectives

Ala Sarah Alaqra, Bridget Kane, Simone Fisher-Hübner
Journal of Medical Internet Research - JMIR Human Factors
2021

2020

Using PAPAYA for eHealth - Use Case Analysis and Requirements

Ala Sarah Alaqra, Eleneora Ciceri, Simone Fischer-Hubner, Bridget Kane, Marco Mosconi, Sauro Vicini
CBMS2020
2020

ProteiNN: Privacy-preserving one-to-many Neural Network Classification

Beyza Bozdemir, Orhan Ermis, Melek Önen
SECRYPT20
2020

Wearable devices and measurement data: An empirical study on ehealth and data sharing

Ala Alaqra Sarah, Bridget Kane
CBMS 2020
2020

SwaNN: Switching among Cryptographic Tools for Privacy-Preserving

Gamze Tillem, Beyza Bozdemir, Melek Önen
SECRYPT20
2020

Blind functional encryption

Sébastien Canard, Adel Hamdi, Fabien Laguillaumie
ICICS 2020
2020

Protecting citizens' personal data and privacy: Joint effort from GDPR EU Cluster Research projects

Renata M. De Carvalho et al.
Joint effort from GDPR EU Cluster Research projects
2020

New data analytics platform eases privacy concerns for owners

Melek Önen (Interview)
CORDIS
2020

2019

A Hybrid Protocol for Private Neural Network Predictions

Gamze Tillem, Beyza Bozdemir, Melek Önen
8th Edition of ICT OPEN
2019

PAPAYA: A Platform for Privacy Preserving Data Analytics

Eleonora Ciceri, Marco Mosconi, Melek Önen, Orhan Ermis
ERCIM News Magazine
2019

SoK: Cryprography for Neural Networks

Monir Azraoui, Beyza Bozdemir, Sébastien Canard, Eleonora Ciceri, Orhan Ermis, Marco Mosconi, Melek Önen, Marie Paindavoine, Sauro Vicini, Muhammad Bahram, Boris Rozenberg, Raha Masalha
Proceedings of the IFIP Summer School on Privacy and Identity Management
2019

Interactive Focus Group GDPR - compliant Dynamic Consent Management

E. Schlehahn, S. Fischer-Hübner, R. Wenning, M. Patrick, F. Karegar
Proceedings of the IFIP Summer School on Privacy and Identity Management
2019

PAC: Privacy-Preserving Arrhythmia Classification with Neural Networks

Mohamad Mansouri, Beyza Bozdemir, Melek Önen, Orhan Ermis
FPS 2019: 12th International Symposium on Foundations and Practice of Security
2019

Protecting Different Interests in Big Data Analytics - Current Trends and Solutions

Tjerk Timan, Zoltan Mann, Rosa Araujo, Alberto Crespo Garcia, Ariel Farkash, Antoine Garnier, Akrivi Vivian Kiousi, Paul Koster, Antonio Kung, Giovanni Livraga, Roberto Díaz Morales, Melek Önen, Ángel Palomares, Angel Navia Vázquez, Andreas Metzger
Big Data Value Association
2019

Privacy Preserving Neural Network Classification

Beyza Bozdemir, Gamze Tillem, Melek Önen, Orhan Ermis
PUT 2019
2019

2018

FHE-compatible Batch Normalization for Privacy Preserving Deep Learning

Alberto Ibarrondo and Melek Önen
13th International Workshop on Data Privacy Management
2018