Privacy in Statistical DatabasesPrivacy in Statistical Databases



In: Joint UNECE/Eurostat Work Session on Statistical Data Confidentiality, Monographs of Official Statistics (to appear, 2007) 3. Karr, A., Oganian, A., Reiter, J., Woo, ... In: Privacy in Statistical Databases. LNCS, pp. 164–176.

Author: Josep Domingo-Ferrer

Publisher: Springer Science & Business Media

ISBN: 9783540874706

Category:

Page: 334

View: 805

This book constitutes the refereed proceedings of the International Conference on Privacy in Statistical Databases, PSD 2008, held in September 2008 in Istanbul, Turkey, under the sponsorship of the UNESCO chair in Data Privacy. The 27 revised full papers presented were carefully reviewed and selected from 37 submissions. The papers are organized in topical sections on tabular data protection; microdata protection; online databases and remote access; privacy-preserving data mining and private information retrieval; and legal issues.

Privacy in Statistical DatabasesPrivacy in Statistical Databases



This book constitutes the refereed proceedings of the International Conference on Privacy in Statistical Databases, PSD 2020, held in Tarragona, Spain, in September 2020 under the sponsorship of the UNESCO Chair in Data Privacy.

Author: Josep Domingo-Ferrer

Publisher: Springer Nature

ISBN: 9783030575212

Category:

Page: 370

View: 155

This book constitutes the refereed proceedings of the International Conference on Privacy in Statistical Databases, PSD 2020, held in Tarragona, Spain, in September 2020 under the sponsorship of the UNESCO Chair in Data Privacy. The 25 revised full papers presented were carefully reviewed and selected from 49 submissions. The papers are organized into the following topics: privacy models; microdata protection; protection of statistical tables; protection of interactive and mobility databases; record linkage and alternative methods; synthetic data; data quality; and case studies. The Chapter “Explaining recurrent machine learning models: integral privacy revisited” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Privacy in Statistical DatabasesPrivacy in Statistical Databases



The 25 papers presented in this volume were carefully reviewed and selected from 45 submissions.

Author: Josep Domingo-Ferrer

Publisher: Springer

ISBN: 3031139445

Category:

Page: 0

View: 476

​This book constitutes the refereed proceedings of the International Conference on Privacy in Statistical Databases, PSD 2022, held in Paris, France, during September 21-23, 2022. The 25 papers presented in this volume were carefully reviewed and selected from 45 submissions. They were organized in topical sections as follows: Privacy models; tabular data; disclosure risk assessment and record linkage; privacy-preserving protocols; unstructured and mobility data; synthetic data; machine learning and privacy; and case studies.

Privacy in Statistical DatabasesPrivacy in Statistical Databases



This book constitutes the refereed proceedings of the International Conference on Privacy in Statistical Databases, PSD 2018, held in Valencia, Spain, in September 2018 under the sponsorship of the UNESCO Chair in Data Privacy.

Author: Josep Domingo-Ferrer

Publisher: Springer

ISBN: 9783319997711

Category:

Page: 361

View: 403

This book constitutes the refereed proceedings of the International Conference on Privacy in Statistical Databases, PSD 2018, held in Valencia, Spain, in September 2018 under the sponsorship of the UNESCO Chair in Data Privacy. The 23 revised full papers presented were carefully reviewed and selected from 42 submissions. The papers are organized into the following topics: tabular data protection; synthetic data; microdata and big data masking; record linkage; and spatial and mobility data. Chapter "SwapMob: Swapping Trajectories for Mobility Anonymization" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Privacy in Statistical DatabasesPrivacy in Statistical Databases



This book constitutes the refereed proceedings of the International Conference on Privacy in Statistical Databases, PSD 2016, held in Dubrovnik, Croatia in September 2016 under the sponsorship of the UNESCO chair in Data Privacy.

Author: Josep Domingo-Ferrer

Publisher: Springer

ISBN: 9783319453811

Category:

Page: 273

View: 558

This book constitutes the refereed proceedings of the International Conference on Privacy in Statistical Databases, PSD 2016, held in Dubrovnik, Croatia in September 2016 under the sponsorship of the UNESCO chair in Data Privacy. The 19 revised full papers presented were carefully reviewed and selected from 35 submissions. The scope of the conference is on following topics: tabular data protection; microdata and big data masking; protection using privacy models; synthetic data; remote and cloud access; disclosure risk assessment; co-utile anonymization.

Inference Control in Statistical DatabasesInference Control in Statistical Databases



Inference control in statistical databases, also known as statistical disclosure limitation or statistical confidentiality, is about finding tradeoffs to the tension between the increasing societal need for accurate statistical data and the ...

Author: Josep Domingo-Ferrer

Publisher: Springer Science & Business Media

ISBN: 9783540436140

Category:

Page: 238

View: 115

Inference control in statistical databases, also known as statistical disclosure limitation or statistical confidentiality, is about finding tradeoffs to the tension between the increasing societal need for accurate statistical data and the legal and ethical obligation to protect privacy of individuals and enterprises which are the source of data for producing statistics. Techniques used by intruders to make inferences compromising privacy increasingly draw on data mining, record linkage, knowledge discovery, and data analysis and thus statistical inference control becomes an integral part of computer science. This coherent state-of-the-art survey presents some of the most recent work in the field. The papers presented together with an introduction are organized in topical sections on tabular data protection, microdata protection, and software and user case studies.

Privacy in Statistical DatabasesPrivacy in Statistical Databases



Chapter "SwapMob: Swapping Trajectories for Mobility Anonymization" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Author: Josep Domingo-Ferrer

Publisher:

ISBN: 3319997726

Category:

Page: 361

View: 893

Chapter "SwapMob: Swapping Trajectories for Mobility Anonymization" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Statistical ConfidentialityStatistical Confidentiality



Proceedings of the Second International Conference on Statistical Confidentiality, Luxembourg 1994 Robertson, D.A.: Improving Statistics Canada's cell suppression ... Inference Control in Statistical Databases: From Theory to Practice.

Author: George T. Duncan

Publisher: Springer Science & Business Media

ISBN: 9781441978028

Category:

Page: 200

View: 203

Because statistical confidentiality embraces the responsibility for both protecting data and ensuring its beneficial use for statistical purposes, those working with personal and proprietary data can benefit from the principles and practices this book presents. Researchers can understand why an agency holding statistical data does not respond well to the demand, “Just give me the data; I’m only going to do good things with it.” Statisticians can incorporate the requirements of statistical confidentiality into their methodologies for data collection and analysis. Data stewards, caught between those eager for data and those who worry about confidentiality, can use the tools of statistical confidentiality toward satisfying both groups. The eight chapters lay out the dilemma of data stewardship organizations (such as statistical agencies) in resolving the tension between protecting data from snoopers while providing data to legitimate users, explain disclosure risk and explore the types of attack that a data snooper might mount, present the methods of disclosure risk assessment, give techniques for statistical disclosure limitation of both tabular data and microdata, identify measures of the impact of disclosure limitation on data utility, provide restricted access methods as administrative procedures for disclosure control, and finally explore the future of statistical confidentiality.

Privacy in Statistical DatabasesPrivacy in Statistical Databases



This book constitutes the refereed proceedings of the International Conference on Privacy in Statistical Databases, PSD 2014, held in Ibiza, Spain in September 2014 under the sponsorship of the UNESCO chair in Data Privacy.

Author: Josep Domingo-Ferrer

Publisher: Springer

ISBN: 9783319112572

Category:

Page: 367

View: 648

This book constitutes the refereed proceedings of the International Conference on Privacy in Statistical Databases, PSD 2014, held in Ibiza, Spain in September 2014 under the sponsorship of the UNESCO chair in Data Privacy. The 27 revised full papers presented were carefully reviewed and selected from 41 submissions. The scope of the conference is on following topics: tabular data protection, microdata masking, protection using privacy models, synthetic data, record linkage, remote access, privacy-preserving protocols, and case studies.