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00:00:03
no i'm that way that i'm working on privacy preserving data sharing
00:00:07
data sharing is already and will become even more in the future a key enabler in multiple domains
00:00:15
such as personalise health targeted marketing or even research general
00:00:22
if we take the example of personalise have data sharing is particularly in boston
00:00:26
for two main reasons first patients go to different places different hospitals to be treated
00:00:32
which means that then maybe can date that have to be shared among these different bases in order to ensure a correct treatments
00:00:39
the second reason is that in order to enable medical studies which requires
00:00:44
large amounts of data data i have to be shared among multiple speed that's
00:00:50
however these data are very sensitive this is the case for medical
00:00:54
data but this is also the case for data in other domains
00:00:58
usually people do not want to share these they uh they want to keep them private
00:01:03
this is why the data of to be protected before they can be sure
00:01:08
and this is why we are working on privacy preserving that i share we think that a solution
00:01:14
for this should fulfil if a four main requirements first it shouldn't have a single point of failure
00:01:21
which means that the trust should be distributed among multiple entities
00:01:26
the confidentiality of the data in the privacy of the evidence as to be sure
00:01:31
and finally an individual should be able to check how is that i'll share
00:01:37
if we take the example of a patient the patients should be able to check
00:01:41
that is medical data i only use for specific studies to the use to which you agreed to participate
00:01:49
and so we are already working on this we uh
00:01:52
presented a frosty standard fulfil these requirements and enable data exploration
00:01:57
for example we can uh count how many patients
00:02:00
satisfy specific criteria from moment to but it does
00:02:04
and we are now working on an assistant to directly computers on the distributed data bases
00:02:11
uh at the same time we are trying to deploy this solutions a moment to but it does it's it's thank you

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Conference Program

Welcome address
Martin Vetterli, President of EPFL
6 June 2019 · 9:48 a.m.
Introduction
James Larus, Dean of IC School, EPFL
6 June 2019 · 9:58 a.m.
Introduction
Jean-Pierre Hubaux, IC Research Day co-chair
6 June 2019 · 10:07 a.m.
Adventures in electronic voting research
Dan Wallach, Professor at Rice University, Houston, USA
6 June 2019 · 10:14 a.m.
When foes are friends: adversarial examples as protective technologies
Carmela Troncoso, Assistant Professor at EPFL
6 June 2019 · 11:09 a.m.
Low-Latency Metadata Protection for Organizational Networks
Ludovic Barman, LCA1|DeDiS, EPFL
6 June 2019 · noon
Interactive comparison-based search, and who-is-th.at
Daniyar Chumbalov, INDY 1, EPFL
6 June 2019 · 12:06 p.m.
Decentralized, Secure and Verifiable Data Sharing
David Froelicher, LCA1|DeDiS, EPFL
6 June 2019 · 12:09 p.m.
Communication Efficient Decentralised Machine Learning
Anastasia Koloskova, MLO, EPFL
6 June 2019 · 12:11 p.m.
Detecting the Unexpected via Image Resynthesis
Krzysztof Lis, CVLab, EPFL
6 June 2019 · 12:14 p.m.
Sublinear Algorithms for Graph Processing
Aida Mousavifar, THL4, EPFL
6 June 2019 · 12:16 p.m.
Protecting the Metadata of Your Secret Messages
Kirill Nikitin, DEDIS, EPFL
6 June 2019 · 12:18 p.m.
Teaching a machine learning algorithm faster
Farnood Salehi, INDY 2, EPFL
6 June 2019 · 12:21 p.m.
Secure Microarchitectural Design
Atri Bhattacharyya, PARSA/HexHive, EPFL
6 June 2019 · 12:23 p.m.
Security testing hard to reach code
Mathias Payer, Assistant Professor at EPFL
6 June 2019 · 1:50 p.m.
Best Research Presentation Award Ceremony
Bryan Ford, Jean-Pierre Hubaux, Deirdre Rochat, EPFL
6 June 2019 · 3:54 p.m.