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00:00:01
i mean i used an item online and later on in your thoughts on media
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or another online sock uses similar item i'd recommend they sent to you
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you find this experience very fascinating because you save
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time on finding to items that you want
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but let me tell you that this is the best part of this story may service provider
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or try to gather your information in order to convince you to go after their product
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your behaviour provide uh for for the of your parthenon interest
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which you made have not been i've ever of before
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your um profile is derived from your clicked for example
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you don't like or dislike on a movie or
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your purchase says or the amount of time you um i spend on there that paid for example
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this please can be a extremely helpful for their document there if if that
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tool uh i'll give you better recommendation however it
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may disclose your personal information at the first
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that you may uh seems to face the dilemma to click or not to teach
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because it can improve their recommended quality yet it
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might uh disclose your personal information but
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i always a trade off between utility and privacy at the speed
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i i research i precisely measured the utility yeah and privacy f. x. optically
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based on a mathematical model in the context of their commanders defence
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all the thought the cliffs induced a trade off between utility on private fit
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i feel you clothes there it's not always the case there are
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some cliff that improve utility without compromising privacy there as ordered
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it really utility and the vile date for compromise your privacy
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the interview of the click adviser interviews john
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user ever clicking platform which enable you to decide if if
00:02:15
patches click it worth creating can't perform or not
00:02:19
confronting the clique adviser you can perform your or
00:02:24
inform clicked and if you want to know

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Conference Program

Welcome address
Andreas Mortensen, Vice President for Research, EPFL
June 7, 2018 · 9:49 a.m.
799 views
Introduction
Jim Larus, Dean of IC School, EPFL
June 7, 2018 · 10 a.m.
254 views
The Young Software Engineer’s Guide to Using Formal Methods
K. Rustan M. Leino, Amazon
June 7, 2018 · 10:16 a.m.
959 views
Safely Disrupting Computer Networks with Software
Katerina Argyraki, EPFL
June 7, 2018 · 11:25 a.m.
1433 views
Short IC Research Presentation 2: Gamified Rehabilitation with Tangible Robots
Arzu Guneysu Ozgur, EPFL (CHILI)
June 7, 2018 · 12:15 p.m.
353 views
Short IC Research Presentation 3: kickoff.ai
Lucas Maystre, Victor Kristof, EPFL (LCA)
June 7, 2018 · 12:19 p.m.
164 views
Short IC Research Presentation 4: Neural Network Guided Expression Transformation
Romain Edelmann, EPFL (LARA)
June 7, 2018 · 12:22 p.m.
160 views
Short IC Research Presentation 5: CleanM
Stella Giannakopoulo, EPFL (DIAS)
June 7, 2018 · 12:25 p.m.
164 views
Short IC Research Presentation 6: Understanding Cities through Data
Eleni Tzirita Zacharatou, EPFL (DIAS)
June 7, 2018 · 12:27 p.m.
1916 views
Short IC Research Presentation 7: Datagrowth and application trends
Matthias Olma, EPFL (DIAS)
June 7, 2018 · 12:31 p.m.
102 views
Short IC Research Presentation 8: Point Cloud, a new source of knowledge
Mirjana Pavlovic, EPFL (DIAS)
June 7, 2018 · 12:34 p.m.
169 views
Short IC Research Presentation 9: To Click or not to Click?
Eleni Tzirita Zacharatou, EPFL (DIAS)
June 7, 2018 · 12:37 p.m.
233 views
Short IC Research Presentation 10: RaaSS Reliability as a Software Service
Maaz Mohiuddlin, LCA2, IC-EPFL
June 7, 2018 · 12:40 p.m.
134 views
Short IC Research Presentation 11: Adversarial Machine Learning in Byzantium
El Mahdi El Mhamdi, EPFL (LPD)
June 7, 2018 · 12:43 p.m.
438 views
20s pitch 1: Cost and Energy Efficient Data Management
Utku Sirin, (DIAS)
June 7, 2018 · 2:20 p.m.
196 views
20s pitch 5: Unified, High Performance Data Cleaning
Stella Giannakopoulo, EPFL (DIAS)
June 7, 2018 · 2:21 p.m.
20s pitch 4: Neural Network Guided Expression Transformation
Romain Edelmann, EPFL (LARA)
June 7, 2018 · 2:21 p.m.
20s pitch 2: Gamification of Rehabilitation
Arzu Guneysu Ozgur, EPFL (CHILI)
June 7, 2018 · 2:21 p.m.
106 views
20s pitch 6: Interactive Exploration of Urban Data with GPUs
Eleni Tzirita Zacharatou, EPFL (DIAS)
June 7, 2018 · 2:22 p.m.
181 views
20s pitch 7: Interactive Data Exploration
Matthias Olma, EPFL (DIAS)
June 7, 2018 · 2:22 p.m.
20s pitch 8: Efficient Point Cloud Processing
Mirjana Pavlovic, EPFL (DIAS)
June 7, 2018 · 2:23 p.m.
234 views
20s pitch 9: To Click or not to Click?
Eleni Tzirita Zacharatou, EPFL (DIAS)
June 7, 2018 · 2:24 p.m.
232 views
20s pitch 10: RaaSS Reliability as a Software Service
Maaz Mohiuddlin, LCA2, IC-EPFL
June 7, 2018 · 2:24 p.m.
118 views
20s pitch 11: Adversarial Machine Learning in Byzantium
El Mahdi El Mhamdi, EPFL (LPD)
June 7, 2018 · 2:24 p.m.
170 views
Machine Learning: Alchemy for the Modern Computer Scientist
Erik Meijer, Facebook
June 7, 2018 · 2:29 p.m.
797 views