Protecting Respondents' Identities in Microdata Release
IEEE Transactions on Knowledge and Data Engineering
k-anonymity: a model for protecting privacy
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Transforming data to satisfy privacy constraints
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Data Privacy through Optimal k-Anonymization
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
Incognito: efficient full-domain K-anonymity
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
On k-anonymity and the curse of dimensionality
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Mondrian Multidimensional K-Anonymity
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
\ell -Diversity: Privacy Beyond \kappa -Anonymity
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
ICDEW '06 Proceedings of the 22nd International Conference on Data Engineering Workshops
Achieving anonymity via clustering
Proceedings of the twenty-fifth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Anatomy: simple and effective privacy preservation
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Weak k-anonymity: a low-distortion model for protecting privacy
ISC'06 Proceedings of the 9th international conference on Information Security
Dynamic anonymization: accurate statistical analysis with privacy preservation
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Preservation of proximity privacy in publishing numerical sensitive data
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
The cost of privacy: destruction of data-mining utility in anonymized data publishing
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
BSGI: An Effective Algorithm towards Stronger l-Diversity
DEXA '08 Proceedings of the 19th international conference on Database and Expert Systems Applications
Privacy preserving serial data publishing by role composition
Proceedings of the VLDB Endowment
Towards trajectory anonymization: a generalization-based approach
SPRINGL '08 Proceedings of the SIGSPATIAL ACM GIS 2008 International Workshop on Security and Privacy in GIS and LBS
Hiding distinguished ones into crowd: privacy-preserving publishing data with outliers
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
HIDE: heterogeneous information DE-identification
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Towards Trajectory Anonymization: a Generalization-Based Approach
Transactions on Data Privacy
On the tradeoff between privacy and utility in data publishing
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Privacy aware data sharing: balancing the usability and privacy of datasets
Proceedings of the 2nd International Conference on PErvasive Technologies Related to Assistive Environments
Social networks integration and privacy preservation using subgraph generalization
Proceedings of the ACM SIGKDD Workshop on CyberSecurity and Intelligence Informatics
Formal anonymity models for efficient privacy-preserving joins
Data & Knowledge Engineering
Privacy-Preserving Data Publishing
Foundations and Trends in Databases
An integrated framework for de-identifying unstructured medical data
Data & Knowledge Engineering
Class-based graph anonymization for social network data
Proceedings of the VLDB Endowment
Transparent anonymization: Thwarting adversaries who know the algorithm
ACM Transactions on Database Systems (TODS)
The hardness and approximation algorithms for l-diversity
Proceedings of the 13th International Conference on Extending Database Technology
Algorithm-safe privacy-preserving data publishing
Proceedings of the 13th International Conference on Extending Database Technology
Privacy-preserving data publishing: A survey of recent developments
ACM Computing Surveys (CSUR)
Preserving the privacy of sensitive relationships in graph data
PinKDD'07 Proceedings of the 1st ACM SIGKDD international conference on Privacy, security, and trust in KDD
P-Sensitive K-Anonymity with Generalization Constraints
Transactions on Data Privacy
Versatile publishing for privacy preservation
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Airavat: security and privacy for MapReduce
NSDI'10 Proceedings of the 7th USENIX conference on Networked systems design and implementation
A family of enhanced (L,α)-diversity models for privacy preserving data publishing
Future Generation Computer Systems
Extending l-diversity to generalize sensitive data
Data & Knowledge Engineering
Preventing range disclosure in k-anonymised data
Expert Systems with Applications: An International Journal
ACM Transactions on Database Systems (TODS)
Extended k-anonymity models against sensitive attribute disclosure
Computer Communications
Privacy-preserving data sharing in cloud computing
Journal of Computer Science and Technology
Protecting privacy in data release
Foundations of security analysis and design VI
How much is enough? choosing ε for differential privacy
ISC'11 Proceedings of the 14th international conference on Information security
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
A framework for preserving privacy in cloud computing with user service dependent identity
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Publishing microdata with a robust privacy guarantee
Proceedings of the VLDB Endowment
Distributed data federation without disclosure of user existence
DBSec'12 Proceedings of the 26th Annual IFIP WG 11.3 conference on Data and Applications Security and Privacy
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Advances in information technology, and its use in research, are increasing both the need for anonymized data and the risks of poor anonymization. We present a metric, δ-presence, that clearly links the quality of anonymization to the risk posed by inadequate anonymization. We show that existing anonymization techniques are inappropriate for situations where δ-presence is a good metric (specifically, where knowing an individual is in the database poses a privacy risk), and present algorithms for effectively anonymizing to meet δ-presence. The algorithms are evaluated in the context of a real-world scenario, demonstrating practical applicability of the approach.