Maximal α-Leakage and its Properties

Jiachun Liao, Lalitha Sankar, Oliver Kosut, Flavio P. Calmon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Maximal α-leakage is a tunable measure of information leakage based on the quality of an adversary's belief about an arbitrary function of private data based on public data. The parameter α determines the loss function used to measure the quality of a belief, ranging from log-loss at α=1 to the probability of error at α=∞. We review its definition and main properties, including extensions to α< 1, robustness to side information, and relationship to Rènyi differential privacy.

Original languageEnglish (US)
Title of host publication2020 IEEE Conference on Communications and Network Security, CNS 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728147604
DOIs
StatePublished - Jun 2020
Event2020 IEEE Conference on Communications and Network Security, CNS 2020 - Virtual, Online, France
Duration: Jun 29 2020Jul 1 2020

Publication series

Name2020 IEEE Conference on Communications and Network Security, CNS 2020

Conference

Conference2020 IEEE Conference on Communications and Network Security, CNS 2020
Country/TerritoryFrance
CityVirtual, Online
Period6/29/207/1/20

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

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