Privacy/De-identification
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* Health System Use Technical Advisory Committee, “[http://www.ehealthinformation.ca/documents/de-idguidelines.pdf Best Practice Guidelines for Managing the Disclosure of De-Identified Health Information].” 2010. | * Health System Use Technical Advisory Committee, “[http://www.ehealthinformation.ca/documents/de-idguidelines.pdf Best Practice Guidelines for Managing the Disclosure of De-Identified Health Information].” 2010. | ||
* Federal Committee on Statistical Methodology, “[http://www.fcsm.gov/working-papers/SPWP22_rev.pdf Statistical Policy Working Paper 22, Report on Statistical Disclosure Limitation Methodology].” 2005. | * Federal Committee on Statistical Methodology, “[http://www.fcsm.gov/working-papers/SPWP22_rev.pdf Statistical Policy Working Paper 22, Report on Statistical Disclosure Limitation Methodology].” 2005. | ||
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| + | * [http://www.w3.org/2011/tracking-protection/HealthDe-IdentifiedDataSlides.pdf Slides from Deven on HIPAA Guidance] | ||
== Academic papers == | == Academic papers == | ||
Revision as of 17:28, 16 January 2013
Some initial resources, suggested by Peter Swire (background reading on de-identification):
- United Kingdom, Information Commissioner’s Office, “Anonymisation: Managing Data Protection Risk Code of Practice.” 2012.
- U.S. Department of Health and Human Services, “Guidance Regarding Methods of De-Identification of Protected Health Information in Accordance with the HIPAA Privacy Rule.” 2012.
Deeper background:
- Health System Use Technical Advisory Committee, “Best Practice Guidelines for Managing the Disclosure of De-Identified Health Information.” 2010.
- Federal Committee on Statistical Methodology, “Statistical Policy Working Paper 22, Report on Statistical Disclosure Limitation Methodology.” 2005.
Academic papers
- Arvind Narayanan, Vitaly Shmatikov. Myths and Fallacies of "PII". Communications of the ACM, June 2010.
- Cynthia Dwork. A Firm Foundation for Private Data Analysis, Communications of the ACM, 2011.
- Joseph A. Calandrino, Ann Kilzer, Arvind Narayanan, Edward W. Felten, Vitaly Shmatikov. "You Might Also Like:" Privacy Risks of Collaborative Filtering. IEEE S&P 2011.
- Arvind Narayanan, Vitaly Shmatikov. De-anonymizing Social Networks. IEEE S&P 2009.
- Arvind Narayanan, Vitaly Shmatikov. Robust De-anonymization of Large Sparse Datasets (How to Break Anonymity of the Netflix Prize Dataset.) IEEE S&P 2008.
- Arvind Narayanan, Elaine Shi, Benjamin I. P. Rubinstein. Link Prediction by De-anonymization: How We Won the Kaggle Social Network Challenge. IJCNN 2011.
- Sweeney, Latanya. "k-anonymity: A model for protecting privacy." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 10.05. 2002.
- Ashwin Machanavajjhala,Daniel Kifer, Johannes Gehrke, Muthuramakrishnan Venkitasubramaniam. L-Diversity: Privacy Beyond K-Anonymity. ACM Transactions on Knowledge Discovery from Data (TKDD), March 2007.
- Ohm, Paul, Broken Promises of Privacy: Responding to the Surprising Failure of Anonymization (August 13, 2009). UCLA Law Review, Vol. 57, p. 1701, 2010; U of Colorado Law Legal Studies Research Paper No. 9-12.
Government reports
- U.S. Federal Trade Commission, Protecting Consumer Privacy in an Era of Rapid Change: Recommendations for Businesses and Policymakers, March 2012.
- Committee on Civil Liberties, Justice and Home Affairs, Rapporteur: Jan Philipp Albrecht. DRAFT REPORT on the proposal for a regulation of the European Parliament and of the Council on the protection of individual with regard to the processing of personal data and on the free movement of such data.
- 1st debate of above in European Parliament Strasbourg 10th Jan. 2013
