Differentially private summaries for sparse data
- 26 March 2012
- conference paper
- conference paper
- Published by Association for Computing Machinery (ACM)
- p. 299-311
- https://doi.org/10.1145/2274576.2274608
Abstract
No abstract availableKeywords
This publication has 19 references indexed in Scilit:
- Boosting the accuracy of differentially private histograms through consistencyProceedings of the VLDB Endowment, 2010
- Towards an axiomatization of statistical privacy and utilityPublished by Association for Computing Machinery (ACM) ,2010
- Privacy in data publishingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2010
- Privacy integrated queriesPublished by Association for Computing Machinery (ACM) ,2009
- Attacks on privacy and deFinetti's theoremPublished by Association for Computing Machinery (ACM) ,2009
- Universally utility-maximizing privacy mechanismsPublished by Association for Computing Machinery (ACM) ,2009
- Privacy: Theory meets Practice on the MapPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2008
- Priority sampling for estimation of arbitrary subset sumsJournal of the ACM, 2007
- Privacy, accuracy, and consistency tooPublished by Association for Computing Machinery (ACM) ,2007
- Differential PrivacyLecture Notes in Computer Science, 2006