License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagRep.7.4.83
URN: urn:nbn:de:0030-drops-75483
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2017/7548/
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Bielova, Nataliia ; Laoutaris, Nikolaos ; Narayanan, Arvind ; Nikiforakis, Nick
Weitere Beteiligte (Hrsg. etc.): Nataliia Bielova and Nikolaos Laoutaris and Arvind Narayanan and Nick Nikiforakis

Online Privacy and Web Transparency (Dagstuhl Seminar 17162)

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dagrep_v007_i004_p083_17162.pdf (2 MB)

Abstract

This report documents the program and the outcomes of Dagstuhl Seminar 17162 "Online Privacy and Web Transparency". The seminar brought 29 participants in computer science, law and policy together, coming from companies and research institutions across Europe and the US.

The 2.5-days seminar had a well-filled program, with 25 research talks, followed by 7 short panel discussions, and 6 5-minute talks. Online privacy and Web transparency is a broad research field, that includes detection of privacy leaks on the Web and mobiles, measurement of tracking technologies on the Web, transparency tools to detect bias and discrimination, as well as how laws and regulations address these problems from a law research perspective, and how technical solutions can influence standards and laws.

BibTeX - Entry

@Article{bielova_et_al:DR:2017:7548,
  author =	{Nataliia Bielova and Nikolaos Laoutaris and Arvind Narayanan and Nick Nikiforakis},
  title =	{{Online Privacy and Web Transparency (Dagstuhl Seminar 17162)}},
  pages =	{83--106},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2017},
  volume =	{7},
  number =	{4},
  editor =	{Nataliia Bielova and Nikolaos Laoutaris and Arvind Narayanan and Nick Nikiforakis},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2017/7548},
  URN =		{urn:nbn:de:0030-drops-75483},
  doi =		{10.4230/DagRep.7.4.83},
  annote =	{Keywords: Big data, Privacy Enhancing Technologies, Transparency, User Discrimination, Web Privacy}
}

Keywords: Big data, Privacy Enhancing Technologies, Transparency, User Discrimination, Web Privacy
Collection: Dagstuhl Reports, Volume 7, Issue 4
Issue Date: 2017
Date of publication: 21.12.2017

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