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SecureMA: protecting participant privacy in genetic association meta-analysis., , , , , , and . Bioinform., 30 (23): 3334-3341 (2014)A multi-institution evaluation of clinical profile anonymization., , , , , , and . JAMIA, 23 (e1): e131-e137 (2016)Extending the classification of nodes in social networks., and . ISI, page 77-82. IEEE, (2011)Methods to Mitigate Risk of Composition Attack in Independent Data Publications., , , , , , and . Medical Data Privacy Handbook, Springer, (2015)Inferring private information using social network data., , , and . WWW, page 1145-1146. ACM, (2009)Process-Driven Data Privacy., , , , , and . CIKM, page 1021-1030. ACM, (2015)Size matters: How population size influences genotype-phenotype association studies in anonymized data., , , , and . J. Biomed. Informatics, (2014)Efficient discovery of de-identification policy options through a risk-utility frontier., , , , and . CODASPY, page 59-70. ACM, (2013)R-U policy frontiers for health data de-identification., , , , and . J. Am. Medical Informatics Assoc., 22 (5): 1029-1041 (2015)A semantic web based framework for social network access control., , , , and . SACMAT, page 177-186. ACM, (2009)