Statistical disclosure control refers to the methodology used in the design of the statistical outputs from a survey for protecting the confidentiality of respondents’ answers. The threat to confidentiality is assumed to come from a hypothetical intruder who has access to these outputs and seeks to use them to disclose information about a survey respondent. One key concern relates to identity d...

We consider the implications of a regime change regarding the timing of reports of trades made by corporate insiders. Presently, insiders report their trades after the fact; however, recently there have been renewed calls for insiders to pre-announce their trades to curb insiders’ ability to profit from their information advantage. Pre-announcement by insiders removes noise trades as source of ...

BACKGROUND Over the past decade, managing the disclosure of findings of genomic research has been the subject of extensive scientific, ethical and legal commentary and is a major challenge for biobanks. AIMS To examine views of the general Australian public about the disclosure of individual research results (IRR) and incidental findings (IF) from biobank genomic research. METHODS A nationa...

We design an experiment to compare investors’ final wealth distribution in a static setup and an equivalent dynamic setup. In the static setup investors can trade all risks since there are as many securities as states of the world. In the dynamic market there are too few securities for investors to achieve efficient final wealth holdings without re-trade. Information disclosure and the possibil...

In the United States, regulatory standards allow workers to be exposed to ionizing radiation that can cause 1 additional cancer fatality per 400 workers per year. Because radiation-dose limits cover only single sources (e.g., a nuclear plant) or exposure classes (workplace, medical, or public) and are defined for average occupational exposure, workers typically do not know their precise cumulat...

Probability-based identity disclosure risk measurement may give the same overall risk for different anonymization strategy of the same dataset. Some entities in the anonymous dataset may have higher identification risks than the others. Individuals are more concerned about higher risks than the average and are more interested to know if they have a possibility of being under higher risk. A nota...

Statistical agencies are keen to devise ways to provide research access to data while protecting confidentiality. Although methods of statistical disclosure risk assessment are now well established in the statistical science literature, the integration of these methods by agencies into a general scientific basis for their practice still proves difficult. This paper seeks to review and clarify t...

Statistical database protection, also known as Statistical Disclosure Control (SDC), is a part of information security which tries to prevent published statistical information (tables, individual records) from disclosing the contribution of specific respondents. This paper deals with the assessment of the disclosure risk associated to the release of tabular data. So-called sensitivity rules are...

Statistical Disclosure Control is part of the usual process, necessary for the dissemination of microdata. Usually, direct identifiers are removed and variables that can be used to re-identify certain records are recoded or suppressed. For certain surveys these methods are inadequate to produce safe microdatasets with enough detail, to satify both the supplier and the user of these sets. To tha...

We compare the disclosure risk criterion of ε-differential privacy with a criterion based on probabilities that intruders uncover actual values given the released data. To do so, we generate fully synthetic data that satisfy ε-differential privacy at different levels of ε, make assumptions about the information available to intruders, and compute posterior probabilities of uncovering true value...