The Decision Diffie-Hellman Problem
ANTS-III Proceedings of the Third International Symposium on Algorithmic Number Theory
Tools for privacy preserving distributed data mining
ACM SIGKDD Explorations Newsletter
Privacy-Preserving Distributed Mining of Association Rules on Horizontally Partitioned Data
IEEE Transactions on Knowledge and Data Engineering
Deriving private information from randomized data
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Privacy Preserving Data Classification with Rotation Perturbation
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Privacy-preservation for gradient descent methods
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Homomorphic encryption and secure comparison
International Journal of Applied Cryptography
Privacy-Preserving Singular Value Decomposition
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
Public-key cryptosystems based on composite degree residuosity classes
EUROCRYPT'99 Proceedings of the 17th international conference on Theory and application of cryptographic techniques
A hybrid multi-group privacy-preserving approach for building decision trees
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
Privacy-preserving linear fisher discriminant analysis
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
A SAS® macro implementation of a multiple comparison post hoc test for a Kruskal-Wallis analysis
Computer Methods and Programs in Biomedicine
Privacy-preserving models for comparing survival curves using the logrank test
Computer Methods and Programs in Biomedicine
On private scalar product computation for privacy-preserving data mining
ICISC'04 Proceedings of the 7th international conference on Information Security and Cryptology
TCC'06 Proceedings of the Third conference on Theory of Cryptography
A public key cryptosystem and a signature scheme based on discrete logarithms
IEEE Transactions on Information Theory
A HIPAA-compliant key management scheme with revocation of authorization
Computer Methods and Programs in Biomedicine
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Statistical tests are powerful tools for data analysis. Kruskal-Wallis test is a non-parametric statistical test that evaluates whether two or more samples are drawn from the same distribution. It is commonly used in various areas. But sometimes, the use of the method is impeded by privacy issues raised in fields such as biomedical research and clinical data analysis because of the confidential information contained in the data. In this work, we give a privacy-preserving solution for the Kruskal-Wallis test which enables two or more parties to coordinately perform the test on the union of their data without compromising their data privacy. To the best of our knowledge, this is the first work that solves the privacy issues in the use of the Kruskal-Wallis test on distributed data.