The Privacy ZEBRA: Zero Evidence Biometric Recognition Assessment

05/19/2020
by   Andreas Nautsch, et al.
0

Mounting privacy legislation calls for the preservation of privacy in speech technology, though solutions are gravely lacking. While evaluation campaigns are long-proven tools to drive progress, the need to consider a privacy adversary implies that traditional approaches to evaluation must be adapted to the assessment of privacy and privacy preservation solutions. This paper presents the first step in this direction: metrics. We introduce the zero evidence biometric recognition assessment (ZEBRA) framework and propose two new privacy metrics. They measure the average level of privacy preservation afforded by a given safeguard for a population and the worst-case privacy disclosure for an individual. The paper demonstrates their application to privacy preservation assessment within the scope of the VoicePrivacy challenge. While the ZEBRA framework is designed with speech applications in mind, it is a candidate for incorporation into biometric information protection standards and is readily extendable to the study of privacy in applications even beyond speech and biometrics.

READ FULL TEXT

page 1

page 2

page 3

page 4

08/30/2020

Speech Pseudonymisation Assessment Using Voice Similarity Matrices

The proliferation of speech technologies and rising privacy legislation ...
05/04/2020

Introducing the VoicePrivacy Initiative

The VoicePrivacy initiative aims to promote the development of privacy p...
05/14/2022

The VoicePrivacy 2020 Challenge Evaluation Plan

The VoicePrivacy Challenge aims to promote the development of privacy pr...
07/08/2019

The GDPR & Speech Data: Reflections of Legal and Technology Communities, First Steps towards a Common Understanding

Privacy preservation and the protection of speech data is in high demand...
06/21/2022

An Overview of Privacy-enhancing Technologies in Biometric Recognition

Privacy-enhancing technologies are technologies that implement fundament...
12/08/2020

Deterministic Privacy Preservation in Static Average Consensus Problem

In this paper we consider the problem of privacy preservation in the sta...
07/15/2019

Single-Component Privacy Guarantees in Helper Data Systems and Sparse Coding

We investigate the privacy of two approaches to (biometric) template pro...