Privacy is an important issue when one wants to make use of data that involves individuals'
sensitive information. Research on protecting the privacy of individuals and the …

In this paper we present a method for reasoning about privacy using the concepts of
exchangeability and deFinetti's theorem. We illustrate the usefulness of this technique by …

Maintenance has largely remained a human-knowledge centered activity, with the primary
records of activity being textbased maintenance work orders (MWOs). However, the bulk of …

Designing statistical privacy for your data Page 1 58 COMMUNICATIONS OF THE ACM |
MARCH 2015 | VOL. 58 | NO. 3 contributed articles DOI:10.1145/2660766 Preparing data for …

In recent years, many organizations publish their data in non-aggregated format for research
purpose. However, publishing non-aggregated data raises serious concerns in data privacy …

In the past two decades, targeted online advertising has led to massive data collection,
aggregation, and exchange. This infrastructure raises significant privacy concerns. While …

In statistical privacy, a privacy definition is regarded as a set of algorithms that are allowed to
process sensitive data. It is often helpful to consider the complementary view that privacy …

In 2006, AOL released a file containing search queries posed by many of its users. The user
names were replaced with random hashes, though the query text was not modified. It turns …

Every day data is published of different types and from various sources. Data de-
identification protects the privacy of most of this data before its publication. Over the recent …

Individual data are collected by government and online service providers such as social
networks, search engines and shopping websites. The huge amount of data about users' …