Privacy-Friendly Data Analytics (B06)

• Subject Area: Security and Dependability, Operating-, Communication- and Distributed Systems
• Term: from 2016 to 2019
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 272573906

Various organizations constantly collect user data for aggregate analysis. This presents two challenges: how to sanitize query results in ways that resolve the tension between privacy and functionality; and how to securely store and share the user data. Existing differential privacy notions provide insufficient utility to be acceptable to stakeholders. We will investigate approaches that bypass the privacy budget limitation of such notions and allow queries over distributed data in a privacy-preserving manner. We will devise a hardware-assisted architecture to ensure secure storage and sharing. We will develop code-hiding property-based attestation techniques to establish trust in such hardware-assisted privacy preserving online services.

• DFG Programme: Collaborative Research Centres
• Subproject of: SFB 1223: Methods and Tools for Understanding and Controlling Privacy
• Applicant Institution: Universität des Saarlandes
• Co-Applicant Institution: Max-Planck-Institut für Softwaresysteme
• Project Heads: Professor Dr. Paul Francis, Ph.D.; Professor Dr. Matteo Maffei, Ph.D., until 3/2017