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questions
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let's take but i had to channel next look must have a question of
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so i'm interested in understanding how practical y'all handing these given that's
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so your companies that pausing and that you can services yes um
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guess which hospital sell i don't know private companies and how do you
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and sure mike don't test or agencies and so
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usually we don't take care of the their storage of
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data then we we collaborate with buttons that would take care of storage which are companies with all the um
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he bar in all of this legal things already set and then we collaborate with them
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for everything that is the processing when it's data to sensitive we have only access to partial information
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so we never have access to all the let's see the name and everything so it's true
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that in theory which could be um so that which which is fine for the for the role
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but we cannot we would do one of the attacked by um that was explained here
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um but that that's not of course the goal of of our company want to
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the devices and send back results so we really don't keep any of the data
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so that's that's the that's the second aspect like we um usually
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we have either already processed aggregated information and then we do the analysis
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and if we have access to full genome so then we have like you know blind the you know we don't know what would be don't base in
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yeah i know i also by means that no no no no no no no no we
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don't even because wait for the reason i was then you like really don't want to take
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well one anyways whatsoever so we always put in the um in
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the the negotiation of the contract that we don't get the data
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and we say okay it one month after the the really delivering results then we would just
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remove all of the roll daytime everything we keep the the final report if you need it later
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but the the raw data is removed if you have any additional analysis
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we would have to start over to just think in because it's uh it's and even in the case where you
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have to store it that's what i said then we go directly to um specified uh provide actions bits and then
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which have all the legal um protect the data and then restored there which it means that information
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that you find for example you and i said concert daytime fine mutation online on the back down
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you are not allowed to keep this information to get up and for the
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future not to do the lecture su and on on exactly that's a hit anything
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yeah you know we don't keep it we we give it to with
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we really provided of analysis uh solutions so usually it's it's um if
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that's a hospital research centre comes to us and and and start to to pitch a project then we discuss how to do the analysis
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usually starts from the really very roadway that it's a intrinsic topic typically anachronistic
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would start from the beginning to the phone analysis give them the gene set and everything that they are interested in
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and uh with the report but we don't do any of the data nor also for
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the future it's it's really not in our interest we really try to sell the analysis
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now that discussion with uh for example groups like the one from john dewey too
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and i like to combine the two right because always really
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the yes developing this platform yes to accelerate and if you can
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yeah and i went to was directly deployed on the platform that yes yeah no this this
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tools we um so we didn't look at it because yet we didn't have to be a
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we didn't have to the big analysis very sensitive data that we're in two weeks ago would say
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as you it's more um with less sensitive data we work with but yeah definitely we can
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work with this uh this tools i mean different people present that um companies also during uh
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encryption description in the cloud and then you don't have access to the
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data so this this we need we can uh in touch but uh yes

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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.
2514 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.
139 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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