Parsimonious downgrading and decision trees applied to the inference problem
Proceedings of the 1998 workshop on New security paradigms
Privacy-preserving data mining
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Using sample size to limit exposure to data mining
Journal of Computer Security - Special issue on database security
On the design and quantification of privacy preserving data mining algorithms
PODS '01 Proceedings of the twentieth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Hiding Association Rules by Using Confidence and Support
IHW '01 Proceedings of the 4th International Workshop on Information Hiding
Disclosure Limitation of Sensitive Rules
KDEX '99 Proceedings of the 1999 Workshop on Knowledge and Data Engineering Exchange
IEEE Transactions on Knowledge and Data Engineering
A methodology for hiding knowledge in databases
CRPIT '14 Proceedings of the IEEE international conference on Privacy, security and data mining - Volume 14
CRPIT '14 Proceedings of the IEEE international conference on Privacy, security and data mining - Volume 14
Privacy preserving frequent itemset mining
CRPIT '14 Proceedings of the IEEE international conference on Privacy, security and data mining - Volume 14
Protecting Sensitive Knowledge By Data Sanitization
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
State-of-the-art in privacy preserving data mining
ACM SIGMOD Record
Hiding Sensitive Patterns in Association Rules Mining
COMPSAC '04 Proceedings of the 28th Annual International Computer Software and Applications Conference - Volume 01
A quantitative and qualitative ANALYSIS of blocking in association rule hiding
Proceedings of the 2004 ACM workshop on Privacy in the electronic society
Preserving Privacy by De-Identifying Face Images
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Knowledge and Data Engineering
A Border-Based Approach for Hiding Sensitive Frequent Itemsets
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Suppressing Data Sets to Prevent Discovery of Association Rules
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
A reconstruction-based algorithm for classification rules hiding
ADC '06 Proceedings of the 17th Australasian Database Conference - Volume 49
An integer programming approach for frequent itemset hiding
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Hiding Sensitive Association Rules with Limited Side Effects
IEEE Transactions on Knowledge and Data Engineering
Dare to share: Protecting sensitive knowledge with data sanitization
Decision Support Systems
Hiding informative association rule sets
Expert Systems with Applications: An International Journal
An epistemic framework for privacy protection in database linking
Data & Knowledge Engineering
Privacy preserving itemset mining through fake transactions
Proceedings of the 2007 ACM symposium on Applied computing
Maximizing Accuracy of Shared Databases when Concealing Sensitive Patterns
Information Systems Research
Hiding collaborative recommendation association rules
Applied Intelligence
Safely delegating data mining tasks
AusDM '06 Proceedings of the fifth Australasian conference on Data mining and analystics - Volume 61
MICF: An effective sanitization algorithm for hiding sensitive patterns on data mining
Advanced Engineering Informatics
Efficient algorithms for distortion and blocking techniques in association rule hiding
Distributed and Parallel Databases
Maintaining data privacy in association rule mining
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Preserving privacy in association rule mining with bloom filters
Journal of Intelligent Information Systems
A MaxMin approach for hiding frequent itemsets
Data & Knowledge Engineering
A unified framework for protecting sensitive association rules in business collaboration
International Journal of Business Intelligence and Data Mining
Data reduction approach for sensitive associative classification rule hiding
ADC '08 Proceedings of the nineteenth conference on Australasian database - Volume 75
Efficient sanitization of informative association rules
Expert Systems with Applications: An International Journal
Anonymity preserving pattern discovery
The VLDB Journal — The International Journal on Very Large Data Bases
Privacy Preserving Data Mining Research: Current Status and Key Issues
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007
Optimization for MASK Scheme in Privacy Preserving Data Mining for Association Rules
RSEISP '07 Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
Protecting business intelligence and customer privacy while outsourcing data mining tasks
Knowledge and Information Systems
Maintenance of sanitizing informative association rules
Expert Systems with Applications: An International Journal
FRAPP: a framework for high-accuracy privacy-preserving mining
Data Mining and Knowledge Discovery
Privacy preserving itemset mining through noisy items
Expert Systems with Applications: An International Journal
A Secure Protocol to Maintain Data Privacy in Data Mining
ADMA '09 Proceedings of the 5th International Conference on Advanced Data Mining and Applications
Reconstructing Data Perturbed by Random Projections When the Mixing Matrix Is Known
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
Hiding co-occurring frequent itemsets
Proceedings of the 2009 EDBT/ICDT Workshops
Distributed data mining and agents
Engineering Applications of Artificial Intelligence
Hiding collaborative recommendation association rules on horizontally partitioned data
Intelligent Data Analysis
HHUIF and MSICF: Novel algorithms for privacy preserving utility mining
Expert Systems with Applications: An International Journal
K-anonymous association rule hiding
ASIACCS '10 Proceedings of the 5th ACM Symposium on Information, Computer and Communications Security
Granulation as a privacy protection mechanism
Transactions on rough sets VII
Efficient privacy preserving distributed clustering based on secret sharing
PAKDD'07 Proceedings of the 2007 international conference on Emerging technologies in knowledge discovery and data mining
Privacy-preserving frequent pattern sharing
DASFAA'07 Proceedings of the 12th international conference on Database systems for advanced applications
Protecting individual information against inference attacks in data publishing
DASFAA'07 Proceedings of the 12th international conference on Database systems for advanced applications
A cost-efficient and versatile sanitizing algorithm by using a greedy approach
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 2
ρ-uncertainty: inference-proof transaction anonymization
Proceedings of the VLDB Endowment
Privacy preserving spatio-temporal clustering on horizontally partitioned data
Ubiquitous knowledge discovery
Associative classification rules hiding for privacy preservation
International Journal of Intelligent Information and Database Systems
Privacy preserving spatio-temporal clustering on horizontally partitioned data
Ubiquitous knowledge discovery
Proceedings of the 10th annual ACM workshop on Privacy in the electronic society
Knowledge hiding from tree and graph databases
Data & Knowledge Engineering
Two new techniques for hiding sensitive itemsets and their empirical evaluation
DaWaK'06 Proceedings of the 8th international conference on Data Warehousing and Knowledge Discovery
Privacy preserving spatio-temporal clustering on horizontally partitioned data
DaWaK'06 Proceedings of the 8th international conference on Data Warehousing and Knowledge Discovery
An effective approach for hiding sensitive knowledge in data publishing
WAIM '06 Proceedings of the 7th international conference on Advances in Web-Age Information Management
Mining association rules from distorted data for privacy preservation
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Utility-guided Clustering-based Transaction Data Anonymization
Transactions on Data Privacy
Anonymizing set-valued data by nonreciprocal recoding
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Secure Two-Party Association Rule Mining Based on One-Pass FP-Tree
International Journal of Information Security and Privacy
Bands of privacy preserving objectives: classification of PPDM strategies
AusDM '11 Proceedings of the Ninth Australasian Data Mining Conference - Volume 121
Association rule hiding in risk management for retail supply chain collaboration
Computers in Industry
An event-based platform for collaborative threats detection and monitoring
Information Systems
The Journal of Supercomputing
Effective sanitization approaches to hide sensitive utility and frequent itemsets
Intelligent Data Analysis
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Data mining technology has given us new capabilities to identify correlations in large data sets. This introduces risks when the data is to be made public, but the correlations are private. We introduce a method for selectively removing individual values from a database to prevent the discovery of a set of rules, while preserving the data for other applications. The efficacy and complexity of this method are discussed. We also present an experiment showing an example of this methodology.