Privacy-enhanced linking
By Latanya Sweeney. 2005
37 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Safety Research, Sociology and Political Science
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Adam D. Smith
- Cynthia Dwork
- Jonathan Ullman
- Kobbi Nissim
- Abhradeep Thakurta
- Kunal Talwar
- Kamalika Chaudhuri
- Salil P. Vadhan
In Safety Research
In Sociology and Political Science
- Adam D. Smith
- Kobbi Nissim
- Sofya Raskhodnikova
- Lise Getoor
- Sergey Yekhanin
- Cynthia Dwork
- Christopher P. Diehl
- Yu-Xiang Wang
Citations in the corpus
- New Efficient Attacks on Statistical Disclosure Control Mechanisms (2008, background): “There is a a vast body of work on this subject (for references, see [1, 6, 10, 24, 25, 26 ]).”
- Efficient, Differentially Private Point Estimators (2008, unknown): “For (partial) references, see [6, 23, 32].”
- Link mining: a survey (2005, background): “However, as cautioned by Sweeney [106], as we develop this technol-”
- Privacy-Preserving Data Linkage and Geocoding: Current Approaches and Research Directions (2006, unknown): “Today, data linkage techniques are increasingly being applied in and between government organisations to improve outcomes in taxation, census, immigration, social welfare, in crime and fraud detection, and in the assembly of terrorism intelligence [ 45 ].”
- Smooth sensitivity and sampling in private data analysis (2007, background): “That is, the noise magnitude is determined not only by the function we want to release, but also by the database itself.”