Does fair anonymization exist?

Alexin, Zoltán

doi:10.1080/13600869.2013.869909

Cited by 6 publications

(3 citation statements)

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“…Given their potential to remove data from the scope of data protection rules, and thus free organisations from their data protection obligations, it has been widely noted that there are strong incentives for their use. 101 There is, however, a problem. Over the last 20 years or so, technical critics of anonymisation have demonstrated that conventional, and commonly used, anonymisation techniques are simply not capable of providing cast-iron guarantees of anonymity.…”

Section: Size Limits For Obligations Inmentioning

confidence: 99%

As clear as mud: Assessing the relationship between proposed pay transparency mechanisms and data protection obligations in EU law

Hooton

Pearce

2023

European Labour Law Journal

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This article considers the provisions of the EU's proposed pay transparency Directive and comments upon their potential for uncovering and rectifying pay imbalances. We note the necessity of pay transparency measures, for full realisation of the right to equal pay for equal work or work of equal value, given that information access inequality is usually present between employee and employer. Whilst many of the innovations in the proposed provisions are commendable and desirable, we see several obstacles to success in the drafting of the proposed articles. Specifically, regarding the most important transparency provisions—the requirement to report on gender pay gaps, and the right to request and receive comparator pay data—the ease with which concerns over a potential clash with data protection obligations has been dismissed is concerning. In light of the jurisprudence of the Court of Justice of the European Union on data protection obligations, and the fallibility of data anonymisation techniques, we predict a tension between these two sets of provisions that has not been entirely precluded by the drafting of the new pay transparency directive.

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Section: Size Limits For Obligations Inmentioning

confidence: 99%

As clear as mud: Assessing the relationship between proposed pay transparency mechanisms and data protection obligations in EU law

Hooton

Pearce

2023

European Labour Law Journal

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“…Fourth, the increasing concern about data leakage [3,4]. Fifth, recent research has questioned the ability of anonymisation techniques to successfully preserve privacy [5][6][7]. Sixth, publishing open government data and the concern of jigsaw re-identification problem regarding private data (transparent government may lead to transparent citizens in terms of their private personal information) [8].…”

Section: Research Motivationmentioning

confidence: 99%

A Literature Survey and Classifications on Data Deanonymisation

Al-Azizy

Millard

Symeonidis

et al. 2016

Lecture Notes in Computer Science

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Abstract. The problem of disclosing private anonymous data has become increasingly serious particularly with the possibility of carrying out deanonymisation attacks on publishing data. The related work available in the literature is inadequate in terms of the number of techniques analysed, and is limited to certain contexts such as Online Social Networks. We survey a large number of state-of-the-art techniques of deanonymisation achieved in various methods and on different types of data. Our aim is to build a comprehensive understanding about the problem. For this survey, we propose a framework to guide a thorough analysis and classifications. We are interested in classifying deanonymisation approaches based on type and source of auxiliary information and on the structure of target datasets. Moreover, potential attacks, threats and some suggested assistive techniques are identified. This can inform the research in gaining an understanding of the deanonymisation problem and assist in the advancement of privacy protection.

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“…Risks of re-identification are often difficult to objectively assess, especially in an era when vast amounts of information about people is available in the public domain (Ramachandran et al 2012). Additionally, these risks evolve over time with new datasets made available and with new computational tools enabling linkage of separate datasets (Alexin 2014). Workshops on data anonymization techniques, online guidance on how to anonymize data as well as checklists for sharing anonymized data will therefore be necessary for any institution wishing to provide services for managed access to restricted data and to manage the associated risks effectively.…”

Section: Guidance On Working With Personal/sensitive Datamentioning

confidence: 99%