Proceedings of the third international conference on Genetic algorithms
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Privacy-preserving data mining
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Use of Contextual Information for Feature Ranking and Discretization
IEEE Transactions on Knowledge and Data Engineering
Protecting Respondents' Identities in Microdata Release
IEEE Transactions on Knowledge and Data Engineering
Machine Learning
Disclosure Risk Assessment in Perturbative Microdata Protection
Inference Control in Statistical Databases, From Theory to Practice
Datafly: A System for Providing Anonymity in Medical Data
Proceedings of the IFIP TC11 WG11.3 Eleventh International Conference on Database Securty XI: Status and Prospects
Randomization in privacy preserving data mining
ACM SIGKDD Explorations Newsletter
Privacy: A Machine Learning View
IEEE Transactions on Knowledge and Data Engineering
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
Privacy and Ownership Preserving of Outsourced Medical Data
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
Random-data perturbation techniques and privacy-preserving data mining
Knowledge and Information Systems
Incognito: efficient full-domain K-anonymity
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
To do or not to do: the dilemma of disclosing anonymized data
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Template-Based Privacy Preservation in Classification Problems
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
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
A crossover operator for the k- anonymity problem
Proceedings of the 8th annual conference on Genetic and evolutionary computation
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
Utility-based anonymization using local recoding
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
A secure distributed framework for achieving k-anonymity
The VLDB Journal — The International Journal on Very Large Data Bases
Anatomy: simple and effective privacy preservation
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Hiding Sensitive Association Rules with Limited Side Effects
IEEE Transactions on Knowledge and Data Engineering
Towards the Diversity of Sensitive Attributes in k-Anonymity
WI-IATW '06 Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology
An epistemic framework for privacy protection in database linking
Data & Knowledge Engineering
Data Mining and Knowledge Discovery
Utility-based anonymization for privacy preservation with less information loss
ACM SIGKDD Explorations Newsletter
Handicapping attacker's confidence: an alternative to k-anonymization
Knowledge and Information Systems
Capturing data usefulness and privacy protection in K-anonymisation
Proceedings of the 2007 ACM symposium on Applied computing
K-anonymization incremental maintenance and optimization techniques
Proceedings of the 2007 ACM symposium on Applied computing
Mining multiple private databases using a kNN classifier
Proceedings of the 2007 ACM symposium on Applied computing
Privacy Protection in Data Mining: A Perturbation Approach for Categorical Data
Information Systems Research
Hiding the presence of individuals from shared databases
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
M-invariance: towards privacy preserving re-publication of dynamic datasets
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Anonymizing Classification Data for Privacy Preservation
IEEE Transactions on Knowledge and Data Engineering
Data & Knowledge Engineering
A privacy controller approach for privacy protection in web services
Proceedings of the 2007 ACM workshop on Secure web services
k-Unlinkability: A privacy protection model for distributed data
Data & Knowledge Engineering
K-anonymization as spatial indexing: toward scalable and incremental anonymization
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Fast data anonymization with low information loss
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
On static and dynamic methods for condensation-based privacy-preserving data mining
ACM Transactions on Database Systems (TODS)
Towards optimal k-anonymization
Data & Knowledge Engineering
Zerber: r-confidential indexing for distributed documents
EDBT '08 Proceedings of the 11th international conference on Extending database technology: Advances in database technology
A framework for condensation-based anonymization of string data
Data Mining and Knowledge Discovery
Preservation of proximity privacy in publishing numerical sensitive data
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
An efficient hash-based algorithm for minimal k-anonymity
ACSC '08 Proceedings of the thirty-first Australasian conference on Computer science - Volume 74
Data utility and privacy protection trade-off in k-anonymisation
PAIS '08 Proceedings of the 2008 international workshop on Privacy and anonymity in information society
Providing k-anonymity in data mining
The VLDB Journal — The International Journal on Very Large Data Bases
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
On disclosure risk analysis of anonymized itemsets in the presence of prior knowledge
ACM Transactions on Knowledge Discovery from Data (TKDD)
Data Quality in Privacy Preservation for Associative Classification
ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
ARUBA: A Risk-Utility-Based Algorithm for Data Disclosure
SDM '08 Proceedings of the 5th VLDB workshop on Secure Data Management
BSGI: An Effective Algorithm towards Stronger l-Diversity
DEXA '08 Proceedings of the 19th international conference on Database and Expert Systems Applications
Privacy-preserving anonymization of set-valued data
Proceedings of the VLDB Endowment
Output perturbation with query relaxation
Proceedings of the VLDB Endowment
Privacy preserving document indexing infrastructure for a distributed environment
Proceedings of the VLDB Endowment
Does enforcing anonymity mean decreasing data usefulness?
Proceedings of the 4th ACM workshop on Quality of protection
Table summarization with the help of domain lattices
Proceedings of the 17th ACM conference on Information and knowledge management
Towards privacy-preserving integration of distributed heterogeneous data
Proceedings of the 2nd PhD workshop on Information and knowledge management
Disclosure Analysis and Control in Statistical Databases
ESORICS '08 Proceedings of the 13th European Symposium on Research in Computer Security: Computer Security
PCP: privacy-aware context profile towards context-aware application development
Proceedings of the 10th International Conference on Information Integration and Web-based Applications & Services
AlphaSum: size-constrained table summarization using value lattices
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Privacy-preserving data mashup
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
On the comparison of microdata disclosure control algorithms
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Zerber+R: top-k retrieval from a confidential index
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
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
An efficient online auditing approach to limit private data disclosure
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
Privacy-preserving incremental data dissemination
Journal of Computer Security - Selected papers from the Third and Fourth Secure Data Management (SDM) workshops
Privacy-preserving data publishing for cluster analysis
Data & Knowledge Engineering
A framework for efficient data anonymization under privacy and accuracy constraints
ACM Transactions on Database Systems (TODS)
On the tradeoff between privacy and utility in data publishing
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Anonymizing healthcare data: a case study on the blood transfusion service
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
A multi-objective approach to data sharing with privacy constraints and preference based objectives
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Clustering-Based Frequency l-Diversity Anonymization
ISA '09 Proceedings of the 3rd International Conference and Workshops on Advances in Information Security and Assurance
Preserving Privacy in Time Series Data Classification by Discretization
MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition
(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
POkA: identifying pareto-optimal k-anonymous nodes in a domain hierarchy lattice
Proceedings of the 18th ACM conference on Information and knowledge management
TIAMAT: a tool for interactive analysis of microdata anonymization techniques
Proceedings of the VLDB Endowment
Secure construction of k-unlinkable patient records from distributed providers
Artificial Intelligence in Medicine
Measuring risk and utility of anonymized data using information theory
Proceedings of the 2009 EDBT/ICDT Workshops
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
Reducing metadata complexity for faster table summarization
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)
A practice-oriented framework for measuring privacy and utility in data sanitization systems
Proceedings of the 2010 EDBT/ICDT Workshops
Towards publishing recommendation data with predictive anonymization
ASIACCS '10 Proceedings of the 5th ACM Symposium on Information, Computer and Communications Security
(α, k)-anonymity based privacy preservation by lossy join
APWeb/WAIM'07 Proceedings of the joint 9th Asia-Pacific web and 8th international conference on web-age information management conference on Advances in data and web management
k-anonymization without Q-S associations
APWeb/WAIM'07 Proceedings of the joint 9th Asia-Pacific web and 8th international conference on web-age information management conference on Advances in data and web management
Granulation as a privacy protection mechanism
Transactions on rough sets VII
Generating microdata with p-sensitive k-anonymity property
SDM'07 Proceedings of the 4th VLDB conference on Secure data management
Efficient k-anonymization using clustering techniques
DASFAA'07 Proceedings of the 12th international conference on Database systems for advanced applications
Capture inference attacks for K-anonymity with privacy inference logic
DASFAA'07 Proceedings of the 12th international conference on Database systems for advanced applications
Risk & distortion based K-anonymity
WISA'07 Proceedings of the 8th international conference on Information security applications
Privacy protection on multiple sensitive attributes
ICICS'07 Proceedings of the 9th international conference on Information and communications security
Allowing privacy protection algorithms to jump out of local optimums: an ordered greed framework
PinKDD'07 Proceedings of the 1st ACM SIGKDD international conference on Privacy, security, and trust in KDD
PinKDD'07 Proceedings of the 1st ACM SIGKDD international conference on Privacy, security, and trust in KDD
Privacy-preserving data mining: A feature set partitioning approach
Information Sciences: an International Journal
Privacy-aware location data publishing
ACM Transactions on Database Systems (TODS)
Efficient Anonymizations with Enhanced Utility
Transactions on Data Privacy
Suppressing microdata to prevent classification based inference
The VLDB Journal — The International Journal on Very Large Data Bases
Centralized and Distributed Anonymization for High-Dimensional Healthcare Data
ACM Transactions on Knowledge Discovery from Data (TKDD)
APPT: A privacy preserving transformation tool for micro data release
Proceedings of the 1st Amrita ACM-W Celebration on Women in Computing in India
Systematic clustering method for l-diversity model
ADC '10 Proceedings of the Twenty-First Australasian Conference on Database Technologies - Volume 104
Privacy-aware access control with generalization boundaries
ACSC '09 Proceedings of the Thirty-Second Australasian Conference on Computer Science - Volume 91
On the identification of property based generalizations in microdata anonymization
DBSec'10 Proceedings of the 24th annual IFIP WG 11.3 working conference on Data and applications security and privacy
Theory of privacy and anonymity
Algorithms and theory of computation handbook
Beyond safe harbor: automatic discovery of health information de-identification policy alternatives
Proceedings of the 1st ACM International Health Informatics Symposium
On-the-fly hierarchies for numerical attributes in data anonymization
SDM'10 Proceedings of the 7th VLDB conference on Secure data management
The Role of Ontologies in the Anonymization of Textual Variables
Proceedings of the 2010 conference on Artificial Intelligence Research and Development: Proceedings of the 13th International Conference of the Catalan Association for Artificial Intelligence
ρ-uncertainty: inference-proof transaction anonymization
Proceedings of the VLDB Endowment
Ontology-based anonymization of categorical values
MDAI'10 Proceedings of the 7th international conference on Modeling decisions for artificial intelligence
ACM Transactions on Database Systems (TODS)
Local and global recoding methods for anonymizing set-valued data
The VLDB Journal — The International Journal on Very Large Data Bases
SABRE: a Sensitive Attribute Bucketization and REdistribution framework for t-closeness
The VLDB Journal — The International Journal on Very Large Data Bases
Privacy-preserving publishing microdata with full functional dependencies
Data & Knowledge Engineering
Privacy-preserving data sharing in cloud computing
Journal of Computer Science and Technology
DPM'10/SETOP'10 Proceedings of the 5th international Workshop on data privacy management, and 3rd international conference on Autonomous spontaneous security
A user-oriented anonymization mechanism for public data
DPM'10/SETOP'10 Proceedings of the 5th international Workshop on data privacy management, and 3rd international conference on Autonomous spontaneous security
FAANST: fast anonymizing algorithm for numerical streaming data
DPM'10/SETOP'10 Proceedings of the 5th international Workshop on data privacy management, and 3rd international conference on Autonomous spontaneous security
PCTA: privacy-constrained clustering-based transaction data anonymization
Proceedings of the 4th International Workshop on Privacy and Anonymity in the Information Society
An efficient clustering algorithm for k-anonymisation
Journal of Computer Science and Technology
Differentially private data release for data mining
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
On the declassification of confidential documents
MDAI'11 Proceedings of the 8th international conference on Modeling decisions for artificial intelligence
Anonymity meets game theory: secure data integration with malicious participants
The VLDB Journal — The International Journal on Very Large Data Bases
Publishing anonymous survey rating data
Data Mining and Knowledge Discovery
On-the-fly generalization hierarchies for numerical attributes revisited
SDM'11 Proceedings of the 8th VLDB international conference on Secure data management
A publication process model to enable privacy-aware data sharing
IBM Journal of Research and Development
k-Anonymous Decision Tree Induction
PKDD'06 Proceedings of the 10th European conference on Principle and Practice of Knowledge Discovery in Databases
On robust and effective k-anonymity in large databases
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
A K-anonymizing approach for preventing link attacks in data publishing
ISPA'05 Proceedings of the 2005 international conference on Parallel and Distributed Processing and Applications
Can attackers learn from samples?
SDM'05 Proceedings of the Second VDLB international conference on Secure Data Management
Suppressing microdata to prevent probabilistic classification based inference
SDM'05 Proceedings of the Second VDLB international conference on Secure Data Management
Data anonymization using an improved utility measurement
Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium
Achieving k-anonymity by clustering in attribute hierarchical structures
DaWaK'06 Proceedings of the 8th international conference on Data Warehousing and Knowledge Discovery
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
Privacy-preserving publishing data with full functional dependencies
DASFAA'10 Proceedings of the 15th international conference on Database Systems for Advanced Applications - Volume Part II
Limiting disclosure of sensitive data in sequential releases of databases
Information Sciences: an International Journal
Integrating private databases for data analysis
ISI'05 Proceedings of the 2005 IEEE international conference on Intelligence and Security Informatics
Privacy in data mining using formal methods
TLCA'05 Proceedings of the 7th international conference on Typed Lambda Calculi and Applications
Secure anonymization for incremental datasets
SDM'06 Proceedings of the Third VLDB international conference on Secure Data Management
Towards a more reasonable generalization cost metric for k-anonymization
BNCOD'06 Proceedings of the 23rd British National Conference on Databases, conference on Flexible and Efficient Information Handling
Towards an anti-inference (k, ℓ)-anonymity model with value association rules
DEXA'06 Proceedings of the 17th international conference on Database and Expert Systems Applications
Disclosure analysis for two-way contingency tables
PSD'06 Proceedings of the 2006 CENEX-SDC project international conference on Privacy in Statistical Databases
Privacy in the electronic society
ICISS'06 Proceedings of the Second international conference on Information Systems Security
Anonymizing transaction data by integrating suppression and generalization
PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
Anonymity preserving techniques in trust negotiations
PET'05 Proceedings of the 5th international conference on Privacy Enhancing Technologies
Secure distributed computation of anonymized views of shared databases
ACM Transactions on Database Systems (TODS)
A practical approximation algorithm for optimal k-anonymity
Data Mining and Knowledge Discovery
k-Concealment: An Alternative Model of k-Type Anonymity
Transactions on Data Privacy
Utility-guided Clustering-based Transaction Data Anonymization
Transactions on Data Privacy
Towards an automatic construction of Contextual Attribute-Value Taxonomies
Proceedings of the 27th Annual ACM Symposium on Applied Computing
On the identity anonymization of high-dimensional rating data
Concurrency and Computation: Practice & Experience
Information based data anonymization for classification utility
Data & Knowledge Engineering
Detecting dependencies in an anonymized dataset
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
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
Clustering-based k-anonymisation algorithms
DEXA'07 Proceedings of the 18th international conference on Database and Expert Systems Applications
A Knowledge Model Sharing Based Approach to Privacy-Preserving Data Mining
Transactions on Data Privacy
An Enhanced Utility-Driven Data Anonymization Method
Transactions on Data Privacy
Efficient discovery of de-identification policy options through a risk-utility frontier
Proceedings of the third ACM conference on Data and application security and privacy
Preserving Privacy in Time Series Data Mining
International Journal of Data Warehousing and Mining
Anonymizing classification data using rough set theory
Knowledge-Based Systems
Priority driven k-anonymisation for privacy protection
AusDM '08 Proceedings of the 7th Australasian Data Mining Conference - Volume 87
AIM: a new privacy preservation algorithm for incomplete microdata based on anatomy
ICPCA/SWS'12 Proceedings of the 2012 international conference on Pervasive Computing and the Networked World
Information preservation in statistical privacy and bayesian estimation of unattributed histograms
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
Fast clustering-based anonymization approaches with time constraints for data streams
Knowledge-Based Systems
Trends and research directions for privacy preserving approaches on the cloud
Proceedings of the 6th ACM India Computing Convention
Improving accuracy of classification models induced from anonymized datasets
Information Sciences: an International Journal
A general framework for privacy preserving data publishing
Knowledge-Based Systems
Journal of Computer Security
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Data on individuals and entities are being collected widely. These data can contain information that explicitly identifies the individual (e.g., social security number). Data can also contain other kinds of personal information (e.g., date of birth, zip code, gender) that are potentially identifying when linked with other available data sets. Data are often shared for business or legal reasons. This paper addresses the important issue of preserving the anonymity of the individuals or entities during the data dissemination process. We explore preserving the anonymity by the use of generalizations and suppressions on the potentially identifying portions of the data. We extend earlier works in this area along various dimensions. First, satisfying privacy constraints is considered in conjunction with the usage for the data being disseminated. This allows us to optimize the process of preserving privacy for the specified usage. In particular, we investigate the privacy transformation in the context of data mining applications like building classification and regression models. Second, our work improves on previous approaches by allowing more flexible generalizations for the data. Lastly, this is combined with a more thorough exploration of the solution space using the genetic algorithm framework. These extensions allow us to transform the data so that they are more useful for their intended purpose while satisfying the privacy constraints.