Compressive privacy: From information/estimation theory to machine learning [Lecture Notes]

Research output: Contribution to journalReview article

20 Scopus citations

Abstract

Most of our daily activities are now moving online in the big data era, with more than 25 billion devices already connected to the Internet, to possibly over a trillion in a decade. However, big data also bears a connotation of “big brother” when personal information (such as sales transactions) is being ubiquitously collected, stored, and circulated around the Internet, often without the data owner's knowledge. Consequently, a new paradigm known as online privacy or Internet privacy is becoming a major concern regarding the privacy of personal and sensitive data.

Original languageEnglish (US)
Article number7815484
Pages (from-to)94-103 and 112
JournalIEEE Signal Processing Magazine
Volume34
Issue number1
DOIs
StatePublished - Jan 2017

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics

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