The process of identifying which records in two or more databases correspond to the same
entity is an important aspect of data quality activities such as data pre-processing and data …

Background: This multi-site study compares resting state fMRI amplitude of low frequency
fluctuations (ALFF) and fractional ALFF (fALFF) between patients with schizophrenia (SZ) …

Cloud computing enables resource-constrained clients to economically outsource their huge
computation workloads to a cloud server with massive computational power. This promising …

Objective: Effective data sharing is critical for comparative effectiveness research (CER), but
there are significant concerns about inappropriate disclosure of patient data. These …

This paper considers the problem of secure data aggregation in a distributed setting while
preserving differential privacy for the aggregated data. In particular, we focus on the secure …

In this paper, we consider the collaborative data publishing problem for anonymizing
horizontally partitioned data at multiple data providers. We consider a new type of “insider …

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

This chapter presents a brief summary and review of Privacy-preserving Data Mining
(PPDM). The review of the existing approaches is structured along a tentative taxonomy of …

Secure two-party computation is used as the basis for a large variety of privacy-preserving
protocols, but often concerns about the low performance hinder the move away from non …

Proximity detection is an emerging technology in Geo-Social Networks that notifies mobile
users when they are in proximity. Nevertheless, users may be unwilling to participate in such …