Analysis of iris obfuscation: Generalising eye information processes for privacy studies in eye tracking

Anton Mølbjerg Eskildsen, Dan Witzner Hansen

Publikation: Konference artikel i Proceeding eller bog/rapport kapitelKonferencebidrag i proceedingsForskningpeer review

Abstract

We present a framework to model and evaluate obfuscation methods for removing sensitive information in eye-tracking. The focus is on preventing iris-pattern identification. Candidate methods have to be effective at removing information while retaining high utility for gaze estimation. We propose several obfuscation methods that drastically outperform existing ones. A stochastic grid-search is used to determine optimal method parameters and evaluate the model framework. Precise obfuscation and gaze effects are measured for selected parameters. Two attack scenarios are considered and evaluated. We show that large datasets are susceptible to probabilistic attacks, even with seemingly effective obfuscation methods. However, additional data is needed to more accurately access the probabilistic security.
OriginalsprogEngelsk
TitelETRA '21 Full Papers : ACM Symposium on Eye Tracking Research and Applications
Antal sider10
ForlagAssociation for Computing Machinery
Publikationsdato25 maj 2021
Sider1-10
Artikelnummer2
ISBN (Elektronisk)978-1-4503-8344-8
DOI
StatusUdgivet - 25 maj 2021
BegivenhedACM Symposium on Eye Tracking Research & Applications - Online
Varighed: 24 maj 202127 maj 2021
https://etra.acm.org/2021/

Konference

KonferenceACM Symposium on Eye Tracking Research & Applications
LokationOnline
Periode24/05/202127/05/2021
Internetadresse

Emneord

  • obfuscation
  • eye-tracking
  • privacy

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