How to develop an intuition for risk. . . and other invisible phenomena

Natasha Fernandes; Annabelle McIver; Carroll Morgan

doi:10.4230/LIPIcs.CSL.2022.2

How to develop an intuition for risk. . . and other invisible phenomena

Natasha Fernandes, Annabelle McIver, Carroll Morgan

School of Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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Abstract

The study of quantitative risk in security systems is often based around complex and subtle mathematical ideas involving probabilities. The notations for these ideas can pose a communication barrier between collaborating researchers even when those researchers are working within a similar framework.

This paper describes the use of geometrical representation and reasoning as a way to share ideas using the minimum of notation so as to build intuition about what kinds of properties might or might not be true. We describe a faithful geometrical setting for the channel model of quantitative information flow (QIF) and demonstrate how it can facilitate “proofs without words” for problems in the QIF setting.

Original language	English
Title of host publication	30th EACSL Annual Conference on Computer Science Logic, CSL 2022
Editors	Florin Manea, Alex Simpson
Place of Publication	Wadern, Germany
Publisher	Dagstuhl Publishing
Pages	1-14
Number of pages	14
ISBN (Electronic)	9783959772181
DOIs	https://doi.org/10.4230/LIPIcs.CSL.2022.2
Publication status	Published - Feb 2022
Event	30th EACSL Annual Conference on Computer Science Logic, CSL 2022 - Virtual, Gottingen, Germany Duration: 14 Feb 2022 → 19 Feb 2022

Publication series

Name	Leibniz International Proceedings in Informatics, LIPIcs
Volume	216
ISSN (Print)	1868-8969

Conference

Conference	30th EACSL Annual Conference on Computer Science Logic, CSL 2022
Country/Territory	Germany
City	Virtual, Gottingen
Period	14/02/22 → 19/02/22

Bibliographical note

Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

Geometry
Quantitative information flow
Proof
Explainability
Privacy

Access to Document

10.4230/LIPIcs.CSL.2022.2

Publisher version (open access)Final published version, 1.84 MBLicence: CC BY

Cite this

Fernandes, N., McIver, A., & Morgan, C. (2022). How to develop an intuition for risk. . . and other invisible phenomena. In F. Manea, & A. Simpson (Eds.), 30th EACSL Annual Conference on Computer Science Logic, CSL 2022 (pp. 1-14). Article 2 (Leibniz International Proceedings in Informatics, LIPIcs; Vol. 216). Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.CSL.2022.2

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Fernandes, N , McIver, A & Morgan, C 2022, How to develop an intuition for risk. . . and other invisible phenomena. in F Manea & A Simpson (eds), 30th EACSL Annual Conference on Computer Science Logic, CSL 2022., 2, Leibniz International Proceedings in Informatics, LIPIcs, vol. 216, Dagstuhl Publishing, Wadern, Germany, pp. 1-14, 30th EACSL Annual Conference on Computer Science Logic, CSL 2022, Virtual, Gottingen, Germany, 14/02/22. https://doi.org/10.4230/LIPIcs.CSL.2022.2

How to develop an intuition for risk. . . and other invisible phenomena. / Fernandes, Natasha ; McIver, Annabelle; Morgan, Carroll.
30th EACSL Annual Conference on Computer Science Logic, CSL 2022. ed. / Florin Manea; Alex Simpson. Wadern, Germany: Dagstuhl Publishing, 2022. p. 1-14 2 (Leibniz International Proceedings in Informatics, LIPIcs; Vol. 216).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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How to develop an intuition for risk. . . and other invisible phenomena

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Keywords

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