STOC '87 Proceedings of the nineteenth annual ACM symposium on Theory of computing
Security-control methods for statistical databases: a comparative study
ACM Computing Surveys (CSUR)
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
On the Accuracy of Meta-learning for Scalable Data Mining
Journal of Intelligent Information Systems
Privacy-preserving data mining
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
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
Handbook of Applied Cryptography
Handbook of Applied Cryptography
Efficient Mining of Association Rules in Distributed Databases
IEEE Transactions on Knowledge and Data Engineering
Distributed Web Mining Using Bayesian Networks from Multiple Data Streams
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
An Efficient Algorithm for Mining Association Rules in Large Databases
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Privacy preserving mining of association rules
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Privacy preserving association rule mining in vertically partitioned data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Building decision tree classifier on private data
CRPIT '14 Proceedings of the IEEE international conference on Privacy, security and data mining - Volume 14
An architecture for privacy-preserving mining of client information
CRPIT '14 Proceedings of the IEEE international conference on Privacy, security and data mining - Volume 14
A Secure Protocol for Computing Dot-Products in Clustered and Distributed Environments
ICPP '02 Proceedings of the 2002 International Conference on Parallel Processing
Privacy-Preserving Cooperative Statistical Analysis
ACSAC '01 Proceedings of the 17th Annual Computer Security Applications Conference
Information sharing across private databases
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Privacy-Preserving Cooperative Scientific Computations
CSFW '01 Proceedings of the 14th IEEE workshop on Computer Security Foundations
An extensible meta-learning approach for scalable and accurate inductive learning
An extensible meta-learning approach for scalable and accurate inductive learning
Privacy-Preserving Distributed Mining of Association Rules on Horizontally Partitioned Data
IEEE Transactions on Knowledge and Data Engineering
Privacy-preserving clustering with distributed EM mixture modeling
Knowledge and Information Systems
Maintaining data privacy in association rule mining
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Privacy-Preserving Data Mining: Why, How, and When
IEEE Security and Privacy
Privacy-Preserving Top-k Queries
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
Blocking-aware private record linkage
Proceedings of the 2nd international workshop on Information quality in information systems
Privacy-preserving SVM using nonlinear kernels on horizontally partitioned data
Proceedings of the 2006 ACM symposium on Applied computing
A secure distributed framework for achieving k-anonymity
The VLDB Journal — The International Journal on Very Large Data Bases
Association rules mining in vertically partitioned databases
Data & Knowledge Engineering - Special issue: WIDM 2004
Security in outsourcing of association rule mining
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Privacy-preserving Naïve Bayes classification
The VLDB Journal — The International Journal on Very Large Data Bases
Guided perturbation: towards private and accurate mining
The VLDB Journal — The International Journal on Very Large Data Bases
Privacy-preserving decision trees over vertically partitioned data
ACM Transactions on Knowledge Discovery from Data (TKDD)
Secure Construction of Contingency Tables from Distributed Data
Proceeedings of the 22nd annual IFIP WG 11.3 working conference on Data and Applications Security
Preservation of Privacy in Thwarting the Ballot Stuffing Scheme
TrustBus '08 Proceedings of the 5th international conference on Trust, Privacy and Security in Digital Business
An Efficient Approximate Protocol for Privacy-Preserving Association Rule Mining
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Proceedings of the first international workshop on Model driven service engineering and data quality and security
CANS '09 Proceedings of the 8th International Conference on Cryptology and Network Security
Distributed data mining and agents
Engineering Applications of Artificial Intelligence
Secure two and multi-party association rule mining
CISDA'09 Proceedings of the Second IEEE international conference on Computational intelligence for security and defense applications
Private record matching using differential privacy
Proceedings of the 13th International Conference on Extending Database Technology
Privacy-preserving discovery of frequent patterns in time series
ICDM'07 Proceedings of the 7th industrial conference on Advances in data mining: theoretical aspects and applications
Protecting privacy in incremental maintenance for distributed association rule mining
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
Collusion-resistant privacy-preserving data mining
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the 9th annual ACM workshop on Privacy in the electronic society
An efficient cacheable secure scalar product protocol for privacy-preserving data mining
DaWaK'11 Proceedings of the 13th international conference on Data warehousing and knowledge discovery
Countering GATTACA: efficient and secure testing of fully-sequenced human genomes
Proceedings of the 18th ACM conference on Computer and communications security
Privacy-Preserving SVM classification on vertically partitioned data
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Privacy-Preserving decision trees over vertically partitioned data
DBSec'05 Proceedings of the 19th annual IFIP WG 11.3 working conference on Data and Applications Security
Recent research on privacy preserving data mining
ICISS'06 Proceedings of the Second international conference on Information Systems Security
Privacy-preserving frequent itemsets mining via secure collaborative framework
Security and Communication Networks
Approximate privacy-preserving data mining on vertically partitioned data
DBSec'12 Proceedings of the 26th Annual IFIP WG 11.3 conference on Data and Applications Security and Privacy
Privacy-preserving subgraph discovery
DBSec'12 Proceedings of the 26th Annual IFIP WG 11.3 conference on Data and Applications Security and Privacy
DJoin: differentially private join queries over distributed databases
OSDI'12 Proceedings of the 10th USENIX conference on Operating Systems Design and Implementation
Privacy-preserving genetic algorithms for rule discovery
DaWaK'07 Proceedings of the 9th international conference on Data Warehousing and Knowledge Discovery
Privacy-preserving disjunctive normal form operations on distributed sets
Information Sciences: an International Journal
Fair private set intersection with a semi-trusted arbiter
DBSec'13 Proceedings of the 27th international conference on Data and Applications Security and Privacy XXVII
EsPRESSO: Efficient privacy-preserving evaluation of sample set similarity
Journal of Computer Security
| Hi-index | 0.00 |
There has been concern over the apparent conflict between privacy and data mining. There is no inherent conflict, as most types of data mining produce summary results that do not reveal information about individuals. The process of data mining may use private data, leading to the potential for privacy breaches. Secure Multiparty Computation shows that results can be produced without revealing the data used to generate them. The problem is that general techniques for secure multiparty computation do not scale to data-mining size computations. This paper presents an efficient protocol for securely determining the size of set intersection, and shows how this can be used to generate association rules where multiple parties have different (and private) information about the same set of individuals.