CSH Virtual Talk by Franz Papst: “Privacy Preserving Machine Learning”


Jun 19, 2020 | 15:0016:00

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This talk by Franz Papst will be taking place online on June 19 from 15:00-16:00 (CEST/UTC+2).

To join the talk click here

 

 

Abstract:

 

The last decade saw the rise of deep learning. The abundance of available data and ever-increasing computational power pushed the boundaries of machine learning. Deep learning has been applied in many different areas and achieved state-of-the-art performance in many of them. However, privacy concerns are hindering the adoption of deep learning in fields like medicine or finance, even though it also could make a positive impact in these fields.

 

This talk will present some methods for processing data in a privacy preserving way and show how it is possible to learn something about a given dataset without learning too much about the individuals in this dataset.

Details

Date
Jun 19, 2020
Time
15:00—16:00

Organizer

Complexity Science Hub Vienna
Phone
+43 1 59991 600
Email
office@csh.ac.at
Website
www.csh.ac.at