Estimating Risks of Identification Disclosure in Microdata
By Jerome P. Reiter. 2005
151 citations recorded by the source corpus.
Subfields: General Health Professions, Sociology and Political Science, Statistics and Probability
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In General Health Professions
- John M. Abowd
- David D. Jensen
- Michael Hay
- Siddharth Srivastava
- Gerome Miklau
- Philipp Weis
- Larry A. Wasserman
- Shuheng Zhou
In Sociology and Political Science
- Michael Hay
- Ashwin Machanavajjhala
- John M. Abowd
- Gerome Miklau
- David D. Jensen
- Ian M. Schmutte
- Alan F. Karr
- Daniel Kifer
In Statistics and Probability
- Daniel Kifer
- Ashwin Machanavajjhala
- Alan F. Karr
- John M. Abowd
- Jerome P. Reiter
- Michael Hay
- Gerome Miklau
- David D. Jensen
Citations in the corpus
- A Statistical Framework for Differential Privacy (2008, background): “Statistical references on disclosure risk and limitation include Duncan and Lambert (1986, 1989), Duncan and Pearson (1991), Reiter (2005), Hwang (1986).”
- Privacy: Theory meets Practice on the Map (2008, background): “On the other hand, there has been comparatively little research on the privacy of synthetic methods, with most work only focusing on the ability of an attacker to determine that an individual is in the data [4].”
- Economic Analysis and Statistical Disclosure Limitation (2016, background): “4See Reiter (2005); Skinner and Holmes (1998); Skinner and Shlomo (2008) for specifics on the risk indices and Duncan et al. (2011, p. 114) for a review of historical uses of swapping.”
- Anonymizing Social Networks (2007, methodology): “The author of [22] empirically evaluates the disclosure risk of random perturbation for tabular micro-data, using a framework that is similar to ours.”
- A Framework for Evaluating the Utility of Data Altered to Protect Confidentiality (2006, background): “In the extreme case of synthetic data (Raghunathan et al. 2003; Reiter 2005b), D0orig(r) = Dorig for all r.”