One of the biggest concerns of big data is privacy. However, the study on big data privacy is
still at a very early stage. We believe the forthcoming solutions and theories of big data …

This tutorial reviews fundamental contributions to information security. An integrative
viewpoint is taken that explains the security metrics, including secrecy, privacy, and others …

Unquestionably, communicating entities (object, or things) in the Internet of Things (IoT)
context are playing an active role in human activities, systems and processes. The high …

Ensuring the usefulness of electronic data sources while providing necessary privacy
guarantees is an important unsolved problem. This problem drives the need for an analytical …

Preserving the utility of published datasets while simultaneously providing provable privacy
guarantees is a well-known challenge. On the one hand, context-free privacy solutions, such …

This paper investigates the relation between three different notions of privacy: identifiability,
differential privacy, and mutual-information privacy. Under a unified privacydistortion …

A communication system including a receiver to receive training data. An input interface to
receive input data coupled to a hardware processor and a memory. The hardware processor …

We focus on the privacy-utility trade-off encountered by users who wish to disclose some
information to an analyst, that is correlated with their private data, in the hope of receiving …

We present and evaluate Deep Private-Feature Extractor (DPFE), a deep model which is
trained and evaluated based on information theoretic constraints. Using the selective …

Microaggregation is a technique for disclosure limitation aimed at protecting the privacy of
data subjects in microdata releases. It has been used as an alternative to generalization and …