Reconciling Data Science with Privacy: The Case of Biomedical Data
Event details
| Date | 16.12.2016 |
| Hour | 13:30 › 14:30 |
| Location | |
| Category | Conferences - Seminars |
Abstract: The increasing availability of biomedical data brings great promises for the future of healthcare, enabling a more precise, preventive and personalized medicine. However, such availability and usage of very sensitive data also raises new concerns about privacy. In this talk, I will first provide some background on the various types of biomedical data in the human biological “OSI stack”. I will then present machine-learning models to precisely quantify privacy risks at three different layers of the biological stack. Moreover, I will introduce various technical means, including differential privacy and encryption, to enhance privacy without reducing too much the utility of machine-learning algorithms. Finally, I will show how the models and methods developed for health data privacy can be applied to other contexts, such as mobility and location data.
Biography: Mathias Humbert is a post-doctoral researcher in the Center for IT-Security, Privacy, and Accountability (CISPA) at Saarland University, Germany. He completed his Ph.D. thesis on interdependent privacy in March 2015, under the supervision of Jean-Pierre Hubaux, in the School of Computer and Communication Sciences at EPFL. Prior to this, he earned his M.Sc. (2009) and B.Sc. (2007) degrees from EPFL, and studied for one year (2007-2008) at UC Berkeley. His current research interests lie at the intersection of security and machine leaning, with a special focus on bioinformatics.
Biography: Mathias Humbert is a post-doctoral researcher in the Center for IT-Security, Privacy, and Accountability (CISPA) at Saarland University, Germany. He completed his Ph.D. thesis on interdependent privacy in March 2015, under the supervision of Jean-Pierre Hubaux, in the School of Computer and Communication Sciences at EPFL. Prior to this, he earned his M.Sc. (2009) and B.Sc. (2007) degrees from EPFL, and studied for one year (2007-2008) at UC Berkeley. His current research interests lie at the intersection of security and machine leaning, with a special focus on bioinformatics.
Practical information
- General public
- Free
- This event is internal
Organizer
- Dr. Olivier Verscheure