Secure two-party computation allows two untrusting parties to jointly compute an arbitrary
function on their respective private inputs while revealing no information beyond the …

Record linkage has a long tradition in both the statistical and the computer science literature.
We survey current approaches to the record linkage problem in a privacy-aware setting and …

This paper introduces an efficient privacy-preserving protocol for distributed K-means
clustering over an arbitrary partitioned data, shared among N parties. Clustering is one of …

Counterfeit products cause financial losses and represent a health risk. Within RFID-
enabled supply chains, where products are equipped with RFID tags, clone detection …

Abstract General two-party Secure Function Evaluation (SFE) allows mutually distrusting
parties to (jointly) correctly compute\emph {any} function on their private input data, without …

The rapid expansion of the Internet is receiving a great deal of attention world-wide. The
technological developments and the increase in online communications have played a vital …

Distributed association rule mining is an integral part of data mining that extracts useful
information hidden in distributed data sources. As local frequent itemsets are globalized …

Speech is perhaps the most private form of personal communication but current speech
processing techniques are not designed to preserve the privacy of the speaker and require …

Distributed privacy preserving data mining applications, where data is divided among
several parties, require high amounts of network communication. In order to overcome this …

A: Çapraz geçerlemede her bir katın doğruluk ölçümü An: Naive Bayes sınıflandırıcıda n
nitelikli grup üzerinde yapılan n ölçümleri c: Önerilen algoritmada kullanılan bir sayıcı d …