E-Learning an den Hamburger Hochschulen
Seminar: Seminare.EIM: Privacy in Online Networks (Bachelor - CS, IIW, TM) - Details
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General information

Semester SoSe 18
Current number of participants 12
expected number of participants 12
Home institute Studiendekanat Elektrotechnik, Informatik und Mathematik (E)
Courses type Seminar in category Teaching
Preliminary discussion Fri , 06.04.2018 13:00 - 13:45
First date Fri , 06.04.2018 13:00 - 13:45, Room: (Bldg E, Rm 4.042)

Topics

Identity disclosure (Fischer, D, Abramian), Attribute disclosure (Huynh, Hüber), Affiliate link disclosure (Fischer, T, Schmidt), k-Anonymity (Huntington, Hanke), l-Diversity (Ertugrul), Differential Privacy

Course location / Course dates

(Bldg E, Rm 4.042) Friday. 06.04. 13:00 - 13:45
Wednesday. 09.05. 11:00 - 14:00
Friday. 11.05. 09:00 - 12:00
Friday. 01.06. 12:00 - 15:00
Tuesday. 05.06. 13:00 - 16:00

Comment/Description

We will discuss privacy breaches as well as data anonymization. For an introduction to the field of privacy, see E. Zheleva, L. Getoor, Privacy in social networks: A survey. Before you enroll in the seminar, you might want to take a look at that survey and at the references listed below. Initial references Privacy breaches 1 L. Backstrom, C. Dwork, J. Kleinberg, Wherefore Art Thou R3579X? Anonymized Social Networks, Hidden Patterns, and Structural Steganography. In WWW, 2007. 2 A. Narayanan and V. Shmatikov. Robust de-anonymization of large sparse datasets. In Security and Privacy, 2008. 3 G. Cormode, D. Srivastava, T. Yu, and Q. Zhang. Anonymizing bipartite graph data using safe groupings. In VLDB, 2008. Data anonymization 4 G. Aggarwal et al. Approximation algorithms for k-anonimity. In JPT, 2005. 5 A. Machanavajjhala, J. Gehrke, D. Kifer, and M. Venkitasubramaniam. l-diversity: Privacy beyond k-anonymity. In ICDE, 2006. 6 C. Dwork, Differential Privacy: A Survey of Results. In TAMC, 2008.

Admission settings

The course is part of admission "Anmeldung gesperrt (global)".
Erzeugt durch Migration 128 13:45:31 03.09.2014
The following admission rules apply:
  • Admission locked.

Registration mode

The enrolment is binding, participants cannot unsubscribe themselves.