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00:00:04
i'm just wondering um um you know just as a company now that
00:00:08
the uh you'd have more east to actually get these projects bowling and
00:00:14
implementation how fast now you can actually implement them and have the demand from
00:00:19
from from these different customers did you did you see change
00:00:22
recently or or or not you to regulation or something else so
00:00:26
you're definitely seeing the maturing cover marked things like in general ah
00:00:33
what is still must think is we're getting closer to the regulations
00:00:37
the regulations they're going to create the urgency for the adoption for sure we're
00:00:43
not yet there will still like two years from from from that time that's
00:00:47
what we're we're we're saying and doing these two yes obviously people are first
00:00:52
of all you don't have to explain from scratch to customers what these technologies are
00:00:58
the only become prepare we just got the previous dockets
00:01:01
it but but but was the perfect example are so um
00:01:06
second of all i think the markets tools that's to me
00:01:10
it's a lot of education on actually help extend the value
00:01:15
from that call to convert like our license for such a technology into
00:01:23
oh so so so what's the r. y. mobile essentially probably you probably realise
00:01:27
that the business about that's still what so people know that this is necessary dustin
00:01:33
to get a decay people hall um they could actually uh that
00:01:39
the actions on with these technologies and the more education companies liking for
00:01:46
provide to the mark to the use cases and so on but
00:01:51
but but the foster but could not but that adoption could becomes huh
00:01:58
i will take one last question given up
00:02:02
i i think for much i hope i can ask
00:02:08
too many questions participant interesting presentation it's name price intact
00:02:14
and i have one practical question i'm not an expert in motion correction but when it just
00:02:19
the p. r. it several times and many years ago and and and my experience was that when it
00:02:24
happened to use it for image authentication on button collection
00:02:27
and contact a lot of computational issues competition and learn
00:02:31
any person exceeded maxim was in h. hundred twenty eight hundred twenty eight ah in
00:02:38
all the application especially magic l. and landed talking about f. and that i'd fatal to
00:02:43
de de de de de de date and said that that's a enormous dimensions how
00:02:47
you're handling obvious chaining to say jake an
00:02:50
enormous amount of information especially blind homework construction
00:02:53
that's an excellent question then this exactly uh and brings me to the
00:02:58
point of the hybrid work falls that i was talking about so you in
00:03:03
in such a complex work all your them all ah never going to use
00:03:07
common more fit encryption all all so you but what you would do is
00:03:12
a lot of these little processing you're gonna beat locally
00:03:15
uh because people's in plain text and only then you would
00:03:20
decide what the right data you would feed into the
00:03:24
privacy preserving but it's in contacting them then you are not
00:03:28
only going to use come up a conclusion used for example what
00:03:31
multiparty computation it's kills more and are so common marketing corruption hot
00:03:38
you like they only use it in the model pain for instance
00:03:41
but you could use it in certain aspects of the mobile importance
00:03:45
and part the other also put your question is that mower these they're just being
00:03:51
a lot of initiatives in part are a lot of
00:03:55
work that's the common hardware acceleration out like every every
00:04:00
few months now we're seeing festival new algorithms that enable
00:04:06
us to go in proper selection but we also sink
00:04:09
a lot of our one down by the carpet manufacturers
00:04:13
to ah to talk to enable like intel in the
00:04:17
the uh for instance to to allow for um to
00:04:21
to to basically design that special colour where that could that
00:04:25
potentially ah accelerate common murphy contraption is very interesting art
00:04:30
work that's currently being by most warm optical computing can
00:04:34
pop go fourier transforms that are that was out to be very relevant for some of the building blocks of common
00:04:41
more encryption so we're expecting to see some progress it's
00:04:46
not gonna solve all the problems but in the hybrid

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Conference Program

(Keynote Talk) Privacy-Preserving Machine Learning : theoretical and practical considerations
Prof. Slava Voloshynovskiy, University of Geneva, professor with the Department of Computer Science and head of the Stochastic Information Processing group
Oct. 11, 2023 · 7:55 a.m.
2509 views
5 minutes Q&A - Privacy-Preserving Machine Learning : theoretical and practical considerations
Prof. Slava Voloshynovskiy, University of Geneva, professor with the Department of Computer Science and head of the Stochastic Information Processing group
Oct. 11, 2023 · 8:40 a.m.
Enabling Digital Sovereignity With ML
Vladimir Vujovic, Senior Digital Innovation Manager, SICPA
Oct. 11, 2023 · 8:44 a.m.
5 minutes Q&A - Enabling Digital Sovereignity With ML
Vladimir Vujovic, Senior Digital Innovation Manager, SICPA
Oct. 11, 2023 · 8:58 a.m.
Privacy-Enhanced Computation in the Age of AI
Dr. Dimitar Jechev, Co-founder and CTO of Inpher
Oct. 11, 2023 · 9:01 a.m.
138 views
5 minutes Q&A - Privacy-Enhanced Computation in the Age of AI
Dr. Dimitar Jechev, Co-founder and CTO of Inpher
Oct. 11, 2023 · 9:20 a.m.
Privacy by Design Age Verification & Online Child Safety
Dr. Onur Yürüten, Head of Age Assurance Solutions and Senior ML Engineer in Privately
Oct. 11, 2023 · 9:26 a.m.
5 minutes Q&A - Privacy by Design Age Verification & Online Child Safety
Dr. Onur Yürüten, Head of Age Assurance Solutions and Senior ML Engineer in Privately
Oct. 11, 2023 · 9:41 a.m.
(Keynote Talk) Biometrics in the era of AI: From utopia to dystopia?
Dr. Catherine Jasserand, KU Leuven (Belgium), Marie Skłodowska-Curie fellow at Biometric Law Lab
Oct. 11, 2023 · 11:06 a.m.
5 minutes Q&A - Biometrics in the era of AI: From utopia to dystopia?
Dr. Catherine Jasserand, KU Leuven (Belgium), Marie Skłodowska-Curie fellow at Biometric Law Lab
Oct. 11, 2023 · 11:42 a.m.
AI and Privacy
Alexandre Jotterand, CIPP/E, CIPM, attorney-at-law, partner at id est avocats
Oct. 11, 2023 · 11:48 a.m.
5 minutes Q&A - AI and Privacy
Alexandre Jotterand, CIPP/E, CIPM, attorney-at-law, partner at id est avocats
Oct. 11, 2023 · 12:06 p.m.
Preliminary Pperspectives on the Ethical Implications of GenAI
Julien Pache, A Partner at Ethix and Venture Partner at Verve Ventures
Oct. 11, 2023 · 12:12 p.m.
5 minutes Q&A - Preliminary Pperspectives on the Ethical Implications of GenAI
Julien Pache, A Partner at Ethix and Venture Partner at Verve Ventures
Oct. 11, 2023 · 12:30 p.m.
AI & Media: Can You Still Trust Information
Mounir Krichane, Director of the EPFL Media Center
Oct. 11, 2023 · 12:32 p.m.
5 minutes Q&A - AI & Media: Can You Still Trust Information
Mounir Krichane, Director of the EPFL Media Center
Oct. 11, 2023 · 12:54 p.m.
(Keynote Talk) Unlocking the Power of Artificial Intelligence for Precision Medicine with Privacy-Enhancing Technologies
Prof. Jean Louis Raisaro, CHUV-UNIL, assistant professor of Biomedical Informatics and Data Science at the Faculty of Biology and Medicine and the head of the Clinical Data Science Group at the Biomedical Data Science Center
Oct. 11, 2023 · 1:22 p.m.
5 minutes Q&A - Unlocking the Power of Artificial Intelligence for Precision Medicine with Privacy-Enhancing Technologies
Prof. Jean Louis Raisaro, CHUV-UNIL, assistant professor of Biomedical Informatics and Data Science at the Faculty of Biology and Medicine and the head of the Clinical Data Science Group at the Biomedical Data Science Center
Oct. 11, 2023 · 1:50 p.m.
Genomics, AI and Privacy
Julien Duc, Co-Founder and Co-CEO of Nexco Analytics
Oct. 11, 2023 · 2:01 p.m.
5 minutes Q&A - Genomics, AI and Privacy
Julien Duc, Co-Founder and Co-CEO of Nexco Analytics
Oct. 11, 2023 · 2:18 p.m.
How trust & transparency lead the success of an Idiap student's Master's project in fraud detection
Raphaël Lüthi, Machine Learning and AI Lead at Groupe Mutuel
Oct. 11, 2023 · 2:22 p.m.
5 minutes Q&A - How trust & transparency lead the success of an Idiap student's Master's project in fraud detection
Raphaël Lüthi, Machine Learning and AI Lead at Groupe Mutuel
Oct. 11, 2023 · 2:38 p.m.

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