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2400088 – Privacy Enhancing Technologies

This course will provide students with a basic understanding of privacy risks, the most common technologies to tackle them and the human factors shaping their design. The course will analyze the adversary models and evaluation metrics underlying the design of privacy-enhancing technologies. Course content: - Freedom of information, the surveillance economy, and other motivations for privacy - Privacy metrics and adversary models (k-anonymity, Differential Privacy) - Anonymous communications (TOR, Darknets) - Data-perturbative privacy-enhancing technologies - Anonymization algorithms for databases - Homomorphic encryption and zero knowledge proofs - Selective disclosure for identity management - Usable privacy - Applying privacy principles and case studies Please check the course web page for updates at: https://ps.tm.kit.edu/english/142.php

Veranstaltungsdaten

Dozent(en)
Prof. Dr. Thorsten Strufe, Dr. Patricia Arias-Cabarcos
SWS
4
Ort
Online
Termin
Lecture: Mondays 4pm, Exercise: Thursdays 2pm

Zusammenfassung

This course will provide students with a basic understanding of privacy risks, the most common technologies to tackle them and the human factors shaping their design. The course will analyze the adversary models and evaluation metrics underlying the design of privacy-enhancing technologies.

Course content:
- Freedom of information, the surveillance economy, and other motivations for privacy
- Privacy metrics and adversary models (k-anonymity, Differential Privacy)
- Anonymous communications (TOR, Darknets)
- Data-perturbative privacy-enhancing technologies
- Anonymization algorithms for databases
- Homomorphic encryption and zero knowledge proofs
- Selective disclosure for identity management
- Usable privacy
- Applying privacy principles and case studies

Please check the course web page for updates at: https://ps.tm.kit.edu/english/142.php

Allgemein

Sprache
Deutsch

Kontakt

Name
Prof. Dr. Thorsten Strufe

Verfügbarkeit

Zugriff
Unbegrenzt – wenn online geschaltet
Aufnahmeverfahren
Sie können diesem Kurs direkt beitreten.
Zeitraum für Beitritte
Bis: 05. Apr 2021, 17:05
Freie Plätze
Veranstaltungszeitraum
12. Apr 2021 - 25. Aug 2021

Für Kursadministratoren freigegebene Daten

Daten des Persönlichen Profils
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Zusätzliche Informationen

Objekt-ID
1949243
Link zu dieser Seite
Erstellt am
04. Mär 2021, 09:54