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Blind Analytics - getting insight from data without seeing the data
--client
kiwipycon
--show
kiwipycon2015
--room Track_1 10294 --force
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Marks
Author(s):
Brian Thorne
Location
Track 1
Date
sep Sun 06
Days Raw Files
Start
16:00
First Raw Start
error-in-template
Duration
00:30:00
Offset
None
End
16:30
Last Raw End
Chapters
Total cuts_time
None min.
https://kiwi.pycon.org/schedule/presentation/89/
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This talk will start with an overview of current methods of privacy preserving computation including homomorphic encryption, secret sharing, and differential privacy. We will explore current uses of privacy preserving computation, in fields such as government, finance, telecommunications and IoT. We will look at the technological and social barriers to wider adoption then gaze into the crystal ball to see where the future might take us. To conclude we will explore one technique (partially homomorphic encryption) with a motivating medical example. A high level overview of the open source library `python-paillier` will be given along with a few code samples showing how easy (some) privacy preserving analytics can be to implement.
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