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Publications
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2018
G.
Loukides and R. Gwadera. Preventing the diffusion of information to
vulnerable users while preserving PageRank
International
Journal of Data Science and Analytics. vol 5 (1), 2018.
O. Ajala, H. Alamro, C.
Iliopoulos, and G. Loukides. Towards
String Sanitization.
Artificial
Intelligence Applications and Innovations (AIAI), 2018.
S. Chang, G. Loukides, and F. Mantegazza. Disentangling
the psychological effects of luxury fashion brands on social capital
and WOM.
International Conference on
Contemporary Marketing Issues (ICCMI), 2018.
S. Chang, G. Loukides, and
L.P. Lee
Examining
the influences of service quality and corporate image on students’
loyalty of boarding schools in the UK: A study of Chinese students.
International Conference on
Contemporary Marketing Issues (ICCMI), 2018.
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2017
C. Dong and G. Loukides.Approximating
Private Set
Union/Intersection Cardinality with Logarithmic Complexity.
IEEE Transactions
on Information
Forensics and Security (TIFS). vol 12 (11), 2017. (Impact
Factor 4.33)
R. Gwadera and G Loukides. Cost-effective
viral marketing in the Latency Aware Independent Cascade model.
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD),
2017. (Acceptance rate for long presentation papers: 45/458≈9.8%)
G. Poulis, G. Loukides, S. Skiadopoulos, and A. Gkoulalas-Divanis.
Anonymizing
datasets with demographics and diagnosis codes in the presence of
utility constraints.
Journal of Biomedical Informatics (JBI), vol 65 (1), 2017. (Impact
Factor 2.45)
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2016
G. Loukides and R. Gwadera. Limiting
the diffusion of information by a
selective PageRank-preserving approach.
IEEE/ACM Data Science and Advanced Analytics (DSAA), 2016.
S. Chang, G. Loukides, and S. Ahmed. Assessing the drivers of
online impulse buying.
International Conference of Contemporary Marketing Issues (ICCMI), 2016.
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2015
G. Loukides and
R. Gwadera. Optimal
Event Sequence Sanitization.
SIAM International Conference on Data Mining (SDM), 2015.
N. Memon, G.
Loukides, and J. Shao. A
Parallel Method for Scalable Anonymization of Transaction Data.
IEEE International Symposium on Parallel and Distributed Computing,
2015.
A.
Gkoulalas-Divanis and G. Loukides. Medical
data privacy handbook. Springer, 2015. (Edited book)
G. Loukides, J.
Liagouris, A. Gkoulalas-Divanis, and M. Terrovitis. Utility-constrained
electronic health record data publishing through generalization and
disassociation.
Medical Data Privacy Handbook, Springer (Eds.) A. Gkoulalas-Divanis and
G. Loukides, 2015.
A.
Gkoulalas-Divanis and G. Loukides. A
survey of anonymization algorithms for electronic health records.
Medical Data Privacy Handbook, Springer (Eds.) A.Gkoulalas-Divanis and
G. Loukides, 2015.
G. Poulis, A.
Gkoulalas-Divanis, G. Loukides, S. Skiadopoulos, C. Tryfonopoulos. SECRETA:
A tool for anonymizing relational, transaction and RT-datasets.
Medical Data Privacy Handbook, Springer (Eds.) A. Gkoulalas-Divanis and
G. Loukides, 2015.
A.
Gkoulalas-Divanis and G. Loukides. Introduction
to Medical Data Privacy.
Medical Data Privacy Handbook, Springer (Eds.) A.Gkoulalas-Divanis and
G. Loukides, 2015.
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2014
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G. Loukides, J.
Liagouris, A. Gkoulalas-Divanis, and M. Terrovitis. Disassociation
for Electronic Health Record Privacy.
Journal of Biomedical Informatics (JBI), vol 50(0), 2014. (Impact
Factor 2.482)
A.
Gkoulalas-Divanis, G. Loukides, and J. Sun. Publishing
data from electronic health records while preserving privacy: A survey
of algorithms.
Journal of Biomedical Informatics (JBI), vol 50(0), 2014. Editor's choice paper
(Impact Factor 2.482)
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A.
Gkoulalas-Divanis, G. Loukides, L. Xiong, and J. Sun.
Informatics Methods in Medical Privacy (Editorial).
Journal of Biomedical Informatics (JBI), vol 50(0, 2014. (Impact Factor
2.482)
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G. Poulis, A. Gkoulalas-Divanis, G. Loukides, Spiros
Skiadopoulos
and Christos Tryfonopoulos.
SECRETA: A System
for Evaluating and Comparing RElational and Transaction Anonymization
algorithms.
International Conference on
Extending Database Technology (EDBT), 2014, as a demo paper.
[website, poster]
G. Poulis, S.
Skiadopoulos, G. Loukides, and A. Gkoulalas-Divanis.
Apriori-based algorithms for km-anonymizing
trajectory data.
Transactions on Data Privacy (TDP), vol 7(2), 2014.
A.
Gkoulalas-Divanis, G. Loukides and J. Sun. Towards
Smarter Healthcare: Anonymizing Medical Data to Support Research Studies
IBM Journal of Research and Development, vol 50 (1), 2014.
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R. Gwadera, A. Gkoulalas-Divanis, and G. Loukides. Permutation-based Sequential Pattern
Hiding.
IEEE International Conference on Data
Mining (ICDM), 2013. (Acceptance rate for regular papers: 94/809≈11.6%)
[presentation, poster]
G. Loukides, A. Gkoulalas-Divanis, and
J. Shao. Efficient
and Flexible Anonymization of Transaction Data.
Knowledge and Information Systems: An International Journal (KAIS), vol
36(1), 2013. (Impact Factor 2.225)
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G. Poulis, G. Loukides, A.
Gkoulalas-Divanis, and S. Skiadopoulos. Anonymizing
data with relational and transaction attributes.
European Conference on Machine Learning and Principles and Practice of
Knowledge Discovery in Databases (ECML/PKDD), 2013.
R.G. Heatherly, G.
Loukides, J. C. Denny, J. L. Haines, D. M. Roden, and B. A. Malin.
Enabling genomic-phenomic association
discovery without sacrificing anonymity.
PLoS ONE, vol 8 (2), 2013, article
number: e53875. (Impact Factor 4.092)
G. Loukides and A.
Gkoulalas-Divanis. Hiding
Sensitive Patterns from Sequence Databases: Research Challenges and
Solutions.
PriSMO: Privacy and Security for Moving Objects (a workshop in
conjunction with IEEE MDM), 2013.
G. Poulis, S.
Skiadopoulos, G. Loukides, and A. Gkoulalas-Divanis. Distance-based
k^m-anonymization of trajectory data.
PriSMO: Privacy and Security for Moving Objects (a workshop in
conjunction with IEEE MDM). 2013.
G. Poulis, S.
Skiadopoulos, G. Loukides, and A. Gkoulalas-Divanis. Select-Organize-Anonymize: A framework for
trajectory data anonymization.
IEEE Workshop on Privacy Aspects of Data Mining (a workshop in
conjunction with IEEE ICDM). 2013.
G. Loukides and A.
Gkoulalas-Divanis. Utility-Aware
Anonymization of Diagnosis Codes.
IEEE Transactions on Information Technology in Biomedicine (TITB) (In
press) (Impact Factor 1.71)
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), vol 16 (3), 2012. (Impact Factor 1.71)
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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), vol
39 (10), 2012. (Impact Factor 1.91)
A. Gkoulalas-Divanis and
G. Loukides. Utility-guided
clustering-based trasaction data anonymization.
Transactions on Data Privacy, vol 5 (1), 2012.
Privacy-preserving
Medical Data Sharing, SIAM International Conference on Data
Mining (SDM) 2012, California, USA, 2012. (tutorial)
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2011
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A. Gkoulalas-Divanis 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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Privacy
challenges and solutions for medical Data Sharing, ECML/PKDD
2011, Athens. (tutorial)
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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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