Privacy Preserving Data Mining (PPDM) [Links: References and Conferences]

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Privacy Preserving Data Mining (PPDM)

Research group on privacy at IIIA-CSIC

http://www.ppdm.cat

Journals:	Transactions on Data Privacy We are publishing this journal, which was founded in 2008. It is currently indexed in DBLP, ACM Digital Library and MathSciNet. Journal of Privacy Technology Data Mining and Knowledge Discovery ACM Transactions on Knowledge Discovery from Data ACM Journal of Data and Information Quality
Conferences:	Click here
Software:	http://ppdm.iiia.csic.es This web page can be used to compute information loss measures and disclosure risk measures according to the following papers: Nin, J., Herranz, J., Torra, V. (2008) Towards a More Realistic Disclosure Risk Assessment.In Privacy in Statistical Databases (PSD), volume 5262 of Lecture Notes in Computer Science, pages 152-165. Springer. PDF@Springer Domingo-Ferrer, J., Torra, V., (2001) Disclosure control methods and information loss for microdata, Confidentiality, disclosure, and data access : Theory and practical applications for statistical agencies, Doyle, P., Lane, J.I., Theeuwes, J.J.M., Zayatz, L.V. eds., Elsevier, pp. 91-110.PDF@URV Mateo-Sanz, J.M., Domingo-Ferrer, J., Sebé, F. Probabilistic information loss measures in confidentiality protection of continuous microdata, Data Mining and Knowledge Discovery, Vol. 11, pp. 181-193. Sep 2005. ISSN: 1384-5810.PDF@URV Domingo-Ferrer, J., Torra, V., (2001) A quantitative comparison of disclosure control methods for microdata, Confidentiality, disclosure, and data access : Theory and practical applications for statistical agencies. Doyle, P.; Lane, J.I.; Theeuwes, J.J.M.; Zayatz, L.V. eds., Elsevier, pp. 111-133. PDF@URV SDCmicro Statistical Disclosure Control methods for the generation of public- and scientific-use files in R (R-project) A description of this package can be found at: Templ, M. (2008) Statistical Disclosure Control for Microdata Using the R-Package sdcMicro, Transactions on Data Privacy 1:2 67 - 85. PDF@TDP
Documents:	European Security Research and Innovation Forum (ESRIF) Final Report December 2009
Data:	The DataFerret (U. S. Census Bureau) Prior 'Data Extraction System' from U.S. Census Bureau redirects now to the DataFerret: DES Data from the CASC Project. Data includes the census, eia, and tarragona datasets used in several papers. Access to data here ( Description here)
Links to researchers:	Arvind Narayanan and Vitaly Shmatikov (U. Texas) They have published a paper on the de-anonymization of large sparse datasets (S&P 2008, 2008 PET Award): S&P 2008 (PDF) Arvind Narayanan writes a blog on privacy:33bits.org
References:	Microdata Confidentiality references (by W. E. Winkler) U. S. Census Bureau Research Reports (sorted by author) Some links at the U. S. Census Bureau References to PPDM at the Data Privacy Lab (Carnegie Mellon) PPDM Bibliography at the CSS @ UMBC (up to 2006) Human Subject Protection and Disclosure Risk Analysis UK Security Citations Bibliography (Edition of September 1993)
Projects:	CASC: Computational Aspects of Statistical Confidentiality

IIIA - Institut d'Investigació en Intel·ligència Artificial

CSIC - Consejo Superior de Investigaciones Científicas

Vicenç Torra, Last modified: 09 : 21 December 16 2009.