El contingut:
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Aquesta pàgina inclou transparències de diverses xerrades així com material del llibre:- V. Torra (2017) Data privacy: Foundations, new developments and the big data challenge, Springer. Link Springer
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Transparències:
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Transparències corresponents al contingut del llibre per cursos de doctorat i mà.
Slides used in the PhD course Introduction to Data Privacy (U. of Linköping, 2013)
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Xerrada @ IEEE Chapter (Webinar):
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Webinar for the IEEE Computer Society Chapter Sweden on May 31st, 2018. It presents an introduction to data privacy, discusses different privacy models (e.g., k-anonymity, differential privacy, and reidentification), and tools to provide solutions that are compliant to the privacy models. We will also discuss some research issues we are involved in.
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Xerrada @ NAV (Oslo):
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Talk at NAV in Oslo on January 15th, 2018. Introduction to data privacy. The talk included examples of data protection in R. Protection of microdata (masking methods) and of tabular data. We used sdcMicro and sdcTable. Slides, code and example file used.
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Xerrada @ DPM2017:
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Keynote talk in DPM 2017: Privacy models and disclosure risk: integral privacy.
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Xerrada @ HiS2017:
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Data privacy: an introduction. Talk given in the U. of Skovde on February 2017.
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Xerrada @ Linköping 2016:
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Short summary: How to use machine learning to evaluate the worst-case disclosure risk scenario, and what is the role of transparency in disclosure risk assessment.
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Xerrada convidada @ IFIP2016:
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This talk was about how to deal with data privacy in big data, from the point of view of data anonymization (data masking). The talk presents a few directions for future research. The talk was given in the IFIP Summer School 2016 (program here).
A full paper corresponding to this talk is being published by Springer.
- V. Torra, G. Navarro-Arribas (2016) Big Data Privacy and Anonymization, in A: Lehmann et al., Privacy and Identity Management 2016, IFIP AICT 498. Read it here (open access).
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Xerrada @ Uppsala 2016:
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Short summary: How to use machine learning to evaluate the worst-case disclosure risk scenario, and what is the role of transparency in disclosure risk assessment.
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Xerrada @ Chalmers 2015:
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Short summary: How to use machine learning to evaluate the worst-case disclosure risk scenario, and what is the role of transparency in disclosure risk assessment.
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Xerrada @ Chalmers 2015:
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Discussion on how transparency affects disclosure risk. When any release applies the transparency principle, we inform users on how the data has been processed (protected), and they can use this information to attack data more effectively. Information on the transparency principle can be found here.
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El curs:
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El contingut del curs i la seva avaluacio:
- Planificació: planning.pdf
- Pràctica: assignment.pdf
- Fitxers: census.csv
- Examen: exam.pdf (v. 02)
The figure can be downloaded here
(file xjRUmaps.pdf)
- Articles:
- Warren, S. D., Brandeis, L. (1890) The Right to Privacy, Harvard Law Review IV:5 (15 December 1890) html@MIT
- Edman, M., Yener, B. (2009) On anonymity in an electronic society: a survey of anonymous communication systems, ACM Computing Surveys 42. paper@ACM DL, pdf@ucf
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