Generating Private Contrastive Explanations with Differentially Private Classifiers and Foil Trees

Master Thesis (2021)
Author(s)

W.J. Zirkzee (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

Mark A. Neerincx – Mentor (TU Delft - Interactive Intelligence)

Stjepan Picek – Graduation committee member (TU Delft - Cyber Security)

Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright
© 2021 Wouter Zirkzee
More Info
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Publication Year
2021
Language
English
Copyright
© 2021 Wouter Zirkzee
Graduation Date
29-04-2021
Awarding Institution
Delft University of Technology
Programme
['Computer Science | Data Science and Technology']
Faculty
Electrical Engineering, Mathematics and Computer Science
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Abstract

Due to the rapid growth of diseases like diabetes, machine-learning (ML) advanced clinical decision support systems (CDSS) that support doctors or patients in their care might prove to be a valuable asset. In the battle to make healthcare more accessible, adopting ML techniques could be supportive in increasing the overall
effectiveness and efficiency of healthcare. However, the development of a CDSS is troubled by multiple problems.

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