From statistical knowledge bases to degrees of belief
Artificial Intelligence
Generalizing data to provide anonymity when disclosing information (abstract)
PODS '98 Proceedings of the seventeenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Protecting Respondents' Identities in Microdata Release
IEEE Transactions on Knowledge and Data Engineering
Achieving k-anonymity privacy protection using generalization and suppression
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
Top-Down Specialization for Information and Privacy Preservation
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
Data Privacy through Optimal k-Anonymization
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
On the complexity of optimal K-anonymity
PODS '04 Proceedings of the twenty-third ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
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
Achieving anonymity via clustering
Proceedings of the twenty-fifth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Injecting utility into anonymized datasets
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Personalized privacy preservation
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Anonymizing sequential releases
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Anatomy: simple and effective privacy preservation
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
ICDT'05 Proceedings of the 10th international conference on Database Theory
Secure anonymization for incremental datasets
SDM'06 Proceedings of the Third VLDB international conference on Secure Data Management
Minimality attack in privacy preserving data publishing
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Anonymity for continuous data publishing
EDBT '08 Proceedings of the 11th international conference on Extending database technology: Advances in database technology
Supporting anonymous location queries in mobile environments with privacygrid
Proceedings of the 17th international conference on World Wide Web
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
Workload-aware anonymization techniques for large-scale datasets
ACM Transactions on Database Systems (TODS)
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
Composition attacks and auxiliary information in data privacy
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
T-rotation: Multiple Publications of Privacy Preserving Data Sequence
ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
BSGI: An Effective Algorithm towards Stronger l-Diversity
DEXA '08 Proceedings of the 19th international conference on Database and Expert Systems Applications
Spatial generalisation algorithms for LBS privacy preservation
Journal of Location Based Services - Privacy Aware and Location-Based Mobile Services
Privacy preserving serial data publishing by role composition
Proceedings of the VLDB Endowment
Yet another privacy metric for publishing micro-data
Proceedings of the 7th ACM workshop on Privacy in the electronic society
Privacy-safe network trace sharing via secure queries
Proceedings of the 1st ACM workshop on Network data anonymization
A survey of state-of-the-art in anonymity metrics
Proceedings of the 1st ACM workshop on Network data anonymization
Privacy-preserving data mashup
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Continuous privacy preserving publishing of data streams
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
Privacy-preserving incremental data dissemination
Journal of Computer Security - Selected papers from the Third and Fourth Secure Data Management (SDM) workshops
Evaluating privacy threats in released database views by symmetric indistinguishability
Journal of Computer Security - Selected papers from the Third and Fourth Secure Data Management (SDM) workshops
Confidentiality-preserving distributed proofs of conjunctive queries
Proceedings of the 4th International Symposium on Information, Computer, and Communications Security
Anonymization-based attacks in privacy-preserving data publishing
ACM Transactions on Database Systems (TODS)
A framework for efficient data anonymization under privacy and accuracy constraints
ACM Transactions on Database Systems (TODS)
Privacy integrated queries: an extensible platform for privacy-preserving data analysis
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
SSDBM 2009 Proceedings of the 21st International Conference on Scientific and Statistical Database Management
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
Distributed Anonymization: Achieving Privacy for Both Data Subjects and Data Providers
Proceedings of the 23rd Annual IFIP WG 11.3 Working Conference on Data and Applications Security XXIII
(α, k)-anonymous data publishing
Journal of Intelligent Information Systems
Privacy-Preserving Data Publishing
Foundations and Trends in Databases
An integrated framework for de-identifying unstructured medical data
Data & Knowledge Engineering
TIAMAT: a tool for interactive analysis of microdata anonymization techniques
Proceedings of the VLDB Endowment
Optimal random perturbation at multiple privacy levels
Proceedings of the VLDB Endowment
Anonymization of set-valued data via top-down, local generalization
Proceedings of the VLDB Endowment
k-automorphism: a general framework for privacy preserving network publication
Proceedings of the VLDB Endowment
Distribution based microdata anonymization
Proceedings of the VLDB Endowment
FM '09 Proceedings of the 2nd World Congress on Formal Methods
Anonymizing bipartite graph data using safe groupings
The VLDB Journal — The International Journal on Very Large Data Bases
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)
Differential privacy: a survey of results
TAMC'08 Proceedings of the 5th international conference on Theory and applications of models of computation
An ad omnia approach to defining and achieving private data analysis
PinKDD'07 Proceedings of the 1st ACM SIGKDD international conference on Privacy, security, and trust in KDD
Proceedings of the forty-second ACM symposium on Theory of computing
Non-homogeneous generalization in privacy preserving data publishing
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
P-Sensitive K-Anonymity with Generalization Constraints
Transactions on Data Privacy
An online framework for publishing privacy-sensitive location traces
Proceedings of the Ninth ACM International Workshop on Data Engineering for Wireless and Mobile Access
Airavat: security and privacy for MapReduce
NSDI'10 Proceedings of the 7th USENIX conference on Networked systems design and implementation
APPT: A privacy preserving transformation tool for micro data release
Proceedings of the 1st Amrita ACM-W Celebration on Women in Computing in India
Privacy vulnerability of published anonymous mobility traces
Proceedings of the sixteenth annual international conference on Mobile computing and networking
Understanding privacy risk of publishing decision trees
DBSec'10 Proceedings of the 24th annual IFIP WG 11.3 working conference on Data and applications security and privacy
ICALP'10 Proceedings of the 37th international colloquium conference on Automata, languages and programming
Synthesizing: art of anonymization
DEXA'10 Proceedings of the 21st international conference on Database and expert systems applications: Part I
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
Resisting structural re-identification in anonymized social networks
The VLDB Journal — The International Journal on Very Large Data Bases
Extended k-anonymity models against sensitive attribute disclosure
Computer Communications
SABRE: a Sensitive Attribute Bucketization and REdistribution framework for t-closeness
The VLDB Journal — The International Journal on Very Large Data Bases
Can the Utility of Anonymized Data be Used for Privacy Breaches?
ACM Transactions on Knowledge Discovery from Data (TKDD)
kb-anonymity: a model for anonymized behaviour-preserving test and debugging data
Proceedings of the 32nd ACM SIGPLAN conference on Programming language design and implementation
Protecting privacy in data release
Foundations of security analysis and design VI
Dynamic anonymization for marginal publication
SSDBM'11 Proceedings of the 23rd international conference on Scientific and statistical database management
I know where you live: analyzing privacy protection in public databases
Proceedings of the 10th annual ACM workshop on Privacy in the electronic society
Cloning for privacy protection in multiple independent data publications
Proceedings of the 20th ACM international conference on Information and knowledge management
An analytical solution for consent management in patient privacy preservation
Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium
k-ARQ: k-anonymous ranking queries
DASFAA'10 Proceedings of the 15th international conference on Database Systems for Advanced Applications - Volume Part I
A semantic information loss metric for privacy preserving publication
DASFAA'10 Proceedings of the 15th international conference on Database Systems for Advanced Applications - Volume Part II
On t-closeness with KL-divergence and semantic privacy
DASFAA'10 Proceedings of the 15th international conference on Database Systems for Advanced Applications - Volume Part II
Privacy streamliner: a two-stage approach to improving algorithm efficiency
Proceedings of the second ACM conference on Data and Application Security and Privacy
Limiting disclosure of sensitive data in sequential releases of databases
Information Sciences: an International Journal
Answering vertex aggregate queries using anonymized social network data
Proceedings of the 1st Workshop on Privacy and Security in Online Social Media
Provable de-anonymization of large datasets with sparse dimensions
POST'12 Proceedings of the First international conference on Principles of Security and Trust
Data privacy against composition attack
DASFAA'12 Proceedings of the 17th international conference on Database Systems for Advanced Applications - Volume Part I
Detecting dependencies in an anonymized dataset
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
CMOA: continuous moving object anonymization
Proceedings of the 16th International Database Engineering & Applications Sysmposium
Generically extending anonymization algorithms to deal with successive queries
Proceedings of the 21st ACM international conference on Information and knowledge management
A Knowledge Model Sharing Based Approach to Privacy-Preserving Data Mining
Transactions on Data Privacy
Studying genotype-phenotype attack on k-anonymised medical and genomic data
AusDM '09 Proceedings of the Eighth Australasian Data Mining Conference - Volume 101
Journal of Computer and System Sciences
Updating outsourced anatomized private databases
Proceedings of the 16th International Conference on Extending Database Technology
Anonymizing sequential releases under arbitrary updates
Proceedings of the Joint EDBT/ICDT 2013 Workshops
Incremental processing and indexing for k, e-anonymisation
International Journal of Information and Computer Security
Privacy vulnerability of published anonymous mobility traces
IEEE/ACM Transactions on Networking (TON)
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The previous literature of privacy preserving data publication has focused on performing "one-time" releases. Specifically, none of the existing solutions supports re-publication of the microdata, after it has been updated with insertions and deletions. This is a serious drawback, because currently a publisher cannot provide researchers with the most recent dataset continuously. This paper remedies the drawback. First, we reveal the characteristics of the re-publication problem that invalidate the conventional approaches leveraging k-anonymity and l-diversity. Based on rigorous theoretical analysis, we develop a new generalization principle m-invariance that effectively limits the risk of privacy disclosure in re-publication. We accompany the principle with an algorithm, which computes privacy-guarded relations that permit retrieval of accurate aggregate information about the original microdata. Our theoretical results are confirmed by extensive experiments with real data.