Skip to Content
Registrations Closed

​

Anonymisation and Privacy Protection in the age of Mass Data Collection

In the first session in our webinar series, jointly organized by Swiss Re Institute, IBM Research, and Gottlieb Duttweiler Institute, two experts will discuss the limits of data anonymisation and de-identification to protect the privacy of individuals.

Add to calendar:
iCal Outlook Google Agenda

We live in a time when information about most of our movements and actions is collected and stored in real time. The availability of large-scale behavioral data dramatically increases our capacity to understand and potentially affect the behavior of individuals and collectives.

The use of this data, however, raises legitimate privacy concerns. Anonymisation is meant to address these concerns: allowing data to be fully used while preserving individuals' privacy. Two experts will first discuss how traditional data protection mechanisms fail to protect people's privacy in the age of big data. More specifically, they will show how the mere absence of obvious identifiers such as name or phone number or the addition of noise are not enough to prevent re-identification. Second, they will describe what they see as a necessary evolution of the notion of data anonymisation towards an anonymous use of data. Finally, they will by discussing some of the modern privacy engineering techniques currently developed to allow large-scale behavioral data to be used while giving individual strong privacy guarantees.

Speakers


Jeffrey Bohn

USA

Head of Research & Engagement at Swiss Re Institute. Dr. Bohn served as Chief Science Officer and Head of GX Labs at State Street Global Exchange in San Francisco. He also established the Portfolio Analytics and Valuation Department within State Street Global Markets Japan in Tokyo. Bohn previously ran the Risk and Regulatory Financial Services consulting practice at PWC Japan.

Yves-Alexandre de Montjoye

Great Britain

Assistant Professor (Lecturer) at Imperial College London where he heads the Computational Privacy Group. De Montjoye also acts as a Special Adviser to EC Competition Commissioner Vestager. Yves-Alexandre is also a research affiliate at MIT where he received his PhD from in 2015. His research aims at understanding how the unicity of human behavior impacts the privacy of individuals--through re-identification or inference--in rich high-dimensional datasets such as mobile phone, credit cards, or browsing data.

Information


Date
16 June 2020

Time
11:00-12:00 (CEST / Zurich time)

Venue
Online

Language
English

Price
Free of charge

Information

Datum
21. Januar 2018

Preise
190 CHF

Anmeldungen später als zwei Wochen vor dem Anlass können nur mit Kreditkarte bezahlt werden.

Sprache
Englisch

Programmänderungen
Änderungen bleiben vorbehalten. Sollte ein Anlass nicht stattfinden, wird die Teilnahmegebühr zurückerstattet. Weitere Ansprüche können nicht geltend gemacht werden.

Abmeldung
Sollten Sie verhindert sein, melden Sie sich bitte schriftlich ab. Bis zum 18. Dezember 2018 erhalten Sie die Teilnahmegebühr zurück. Danach und bis zu fünf vollen Arbeitstagen vor dem Anlass stellen wir 75% in Rechnung, bei späteren Absagen verrechnen wir den vollen Betrag. Ein/e ErsatzteilnehmerIn ist in jedem Fall willkommen. Bitte nennen sie diese unter: GDIoutlook(at)gdi.ch

Allgemeine Geschäftsbedingungen (PDF)


Veranstaltungsort

GDI Gottlieb Duttweiler Institute

Langhaldenstrasse 21

8803 Rüschlikon

SCHWEIZ

Anreise

Partners





Documentation


 
 



Documentation

Kooperationspartner

Fehr Advice

TeilnehmerInnenliste

Documentation

Testimonials