Sensitive personal data are created in many application domains, and there is now an
increasing demand to share, integrate, and link such data within and across organisations in …

Data sketching is a critical tool for distinct counting, enabling multisets to be represented by
compact summaries that admit fast cardinality estimates. Because sketches may be merged …

We consider a scenario where multiple organizations holding large amounts of sensitive
data from their users wish to compute aggregate statistics on this data while protecting the …

Bloom filter encoding has widely been used as an efficient masking technique for privacy-
preserving matching functions. The existing matching techniques, however, are limited to …

Business intelligence and AI services often involve the collection of copious amounts of
multidimensional personal data. Since these data usually contain sensitive information of …

Purpose In the digital age, organizations want to build a more powerful machine learning
model that can serve the increasing needs of people. However, enhancing privacy and data …

Consider the setting where multiple parties each hold a multiset of users and the task is to
estimate the reach (ie, the number of distinct users appearing across all parties) and the …

This paper introduces an architecture for crowd-monitoring which allows statistical counting
for pedestrian dynamics while considering privacy-preservation for the individuals being …

Abstract Relying on Wi-Fi signals broadcasted by smartphones became the de-facto
standard in the domain of pedestrian crowd monitoring. This method got the edge over other …

Pedestrian dynamics are nowadays commonly analyzed by leveraging Wi-Fi signals sent by
devices that people carry with them and captured by an infrastructure of Wi-Fi scanners …