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

Research output: Contribution to journalReview articlepeer-review

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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