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Publications
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2012
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A. Tamersoy, G. Loukides, M. Nergiz, Y. Saygin, and B. Malin. Anonymization of Longitudinal Electronic Medical Records . IEEE Transactions on Information Technology in Biomedicine (TITB). (Impact Factor 1.71) (epub ahead of print).
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G. Loukides and A. Gkoulalas-Divanis. Utility-preserving transaction data anonymization with low information loss. Expert Systems with Applications: An International Journal (ESWA). (Impact Factor 1.91) (epub ahead of print).
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A. Gkoulalas-Divanis and G. Loukides. Utility-guided clustering-based trasaction data anonymization. Transactions on Data Privacy. (to appear)
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2011
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A. Gkoulalas and G. Loukides. Revisiting Sequential Pattern Hiding to Enhance Utility. ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2011. (poster)
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G. Loukides, A. Gkoulalas-Divanis and B. Malin. COAT: Constraint-based Anonymization of Transactions. Knowledge and Information Systems: An International Journal (KAIS). (Special issue on Context-Aware Data Mining). (Impact Factor 2.21)
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G. Loukides and J. Shao. Preventing Range Disclosure in k-Anonymised Data. Expert Systems with Applications: An International Journal (ESWA), vol 38 (4), 2011. (Impact Factor 2.91)
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B. Malin, G. Loukides, K. Benitez, and E. W. Clayton. Identifiability in Biobanks: Models, Measures, and Mitigation Strategies. Human Genetics, vol 130 (3), 2011. (Impact Factor 5.05)
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G. Loukides, A. Gkoulalas-Divanis, and J. Shao. On balancing disclosure risk and data utility in transaction data sharing using R-U confidentiality map. Joint United Nations Economics Commision for Europe/EUROSTAT Work Session on Statistical Data Confidentiality. (Invited paper)
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A. Tziatzios, J. Shao, and G. Loukides. A heuristic method for deriving range-based classification rules. 8th International Conference on Fuzzy Systems and Knowledge Discovery, 2011.
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A. Gkoulalas-Divanis and G. Loukides. Privacy-constrained Clustering-based Transaction Data Anonymization. EDBT International Workshop on Privacy and Anonymity in the Information Society. (one of the best papers - invited to Transactions on Data Privacy)
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2010
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G. Loukides, A. Gkoulalas-Divanis and B. Malin. Anonymization of Electronic Medical Records for Validating Genome-Wide Association Studies. Proceedings of the National Academy of Sciences of the United States of America, vol. 107 (17), 2010. (Impact Factor 9.83) Acknowledged as one of the most important technologies to improve the effectiveness of healthcare by a National Human Genome Research Institute Nature publication. Media Coverage:Technology Review , KDNuggets , Science News , Nature News , Scientific American , ComputerWeekly.com , The Register
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G. Loukides, A. Gkoulalas-Divanis and J. Shao. Anonymizing Transaction Data to Eliminate Sensitive Inferences. 21st International Conference on Database and Expert Systems Applications (DEXA), 2010.
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G. Loukides, J. C. Denny and B. Malin. The Disclosure of Diagnosis Codes Can Breach Research Participants’ Privacy. Journal of American Medical Informatics Association (JAMIA), vol. 17 (3), 2010. (Impact Factor 3.4)
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G. Loukides, A. Gkoulalas-Divanis and B. Malin. Privacy-Preserving Publication of Diagnosis Codes for Effective Biomedical Analysis. 10th IEEE International Conference on Information Technology and Applications in Biomedicine, 2010.
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G. Loukides, A. Gkoulalas-Divanis and B. Malin. An Integrative, Anonymity-Preserving Framework for Disseminating Patient Records. Database Technology for Life Sciences and Medicine, (C. Plant and C. Bohm, eds.), World Scientific, 2010.
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K. Benitez, G. Loukides and B. Malin. Beyond Safe Harbor: Automatic Discovery of Health Information De-identification Policy Alternatives. ACM SIG Health Informatics Symposium, 2010.
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A. Tamersoy, G. Loukides and B. Malin. Anonymization of Administrative Billing Codes with Repeated Diagnoses through Censoring. American Medical Informatics Association (AMIA) Annual Symposium, 2010.
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2009
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G. Loukides and A. Gkoulalas-Divanis. Privacy Challenges and Solutions in the Social Web. ACM Crossroads, Vol. 16 (2), 2009.
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G. Loukides, J. C. Denny and B. Malin. Do Clinical Profiles Constitute Privacy Risks for Research Participants? American Medical Informatics Association (AMIA) Annual Symposium, 2009. (Distinguished Paper Award)
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G. Loukides, A. Tziatzios and J. Shao. Towards Preference-Constrained k-Anonymisation. DASFAA International Workshop on Privacy-Preserving Data Analysis, 2009.
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2008
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G. Loukides and J. Shao. An efficient clustering algorithm for k-Anonymisation. Journal of Computer Science and Technology, Vol. 23(2), 2008.
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G. Loukides and J. Shao. Data Utility and Privacy Protection Trade-off in k-Anonymisation. EDBT Workshop on Privacy and Anonymity in the Information Society, 2008.
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G. Loukides and J. Shao. An Empirical Study of Utility Measures for k-Anonymisation. 25th British National Conference on Databases (BNCOD), 2008.
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2007
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G. Loukides and J. Shao. Greedy Clustering with Sample-Based Heuristics for k-Anonymisation. IEEE International Symposium on Data, Privacy, and E-Commerce. (Selected as one of the best four papers)
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G. Loukides and J. Shao. Clustering-Based k-Anonymisation algorithms. International Conference on Database and Expert Systems Applications (DEXA), 2007.
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G. Loukides and J. Shao. Speeding up Clustering-Based k-Anonymisation Algorithms with Pre-partitioning. 24th British National Conference on Databases (BNCOD), 2007.
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G. Loukides and J. Shao. Capturing Data Usefulness and Privacy Protection in k-Anonymisation. ACM Symposium on Applied Computing (SAC), 2007.
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2006
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G. Loukides and J. Shao. Towards Balancing Data Usefulness and Privacy Protection in k-Anonymisation. IEEE International Conference on Computer and Information Technology (CIT), 2006. (Excellent paper award)
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G. Loukides and J. Shao. Query-driven Data Anonymisation. 23rd British National Conference on Databases (BNCOD) PhD Forum, 2006.
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