Go to content
UR Home

Differential Privacy for Eye-Tracking Data

URN to cite this document:
urn:nbn:de:bvb:355-epub-414546
Liu, Ao ; Xia, Lirong ; Duchowski, Andrew ; Bailey, Reynold ; Holmqvist, Kenneth ; Jain, Eakta
[img]
Preview
PDF
(1MB)
Date of publication of this fulltext: 03 Feb 2020 08:43



Abstract

As large eye-tracking datasets are created, data privacy is a pressing concern for the eye-tracking community. De-identifying data does not guarantee privacy because multiple datasets can be linked for inferences. A common belief is that aggregating individuals' data into composite representations such as heatmaps protects the individual. However, we analytically examine the privacy of ...

plus


Owner only: item control page
  1. Homepage UR

University Library

Publication Server

Contact:

Publishing: oa@ur.de
0941 943 4239

Dissertations: dissertationen@ur.de
0941 943 3904

Research data: daten@ur.de
0941 943 4239

Contact persons