Privacy–enhancing face biometrics : a comprehensive survey

Meden, Blaž (author), Rot, Peter (author), Terhörst, Philipp (author), Damer, Naser (author), Kuijper, Arjan (author), Scheirer, Walter J. (author), Ross, Arun Abraham (author), Peer, Peter (author), Štruc, Vitomir (author)

Biometric recognition technology has made significant advances over the last decade and is now used across a number of services and applications. However, this widespread deployment has also resulted in privacy concerns and evolving societal expectations about the appropriate use of the technology. For example, the ability to automatically extract age, gender, race, and health cues from biometric data has heightened concerns about privacy leakage. Face recognition technology, in particular, has been in the spotlight, and is now seen by many as posing a considerable risk to personal privacy. In response to these and similar concerns, researchers have intensified efforts towards developing techniques and computational models capable of ensuring privacy to individuals, while still facilitating the utility of face recognition technology in several application scenarios. These efforts have resulted in a multitude of privacy–enhancing techniques that aim at addressing privacy risks originating from biometric systems and providing technological solutions for legislative requirements set forth in privacy laws and regulations, such as GDPR. The goal of this overview paper is to provide a comprehensive introduction into privacy–related research in the area of biometrics and review existing work on Biometric Privacy–Enhancing Techniques (B–PETs) applied to face biometrics. To make this work useful for as wide of an audience as possible, several key topics are covered as well, including evaluation strategies used with B–PETs, existing datasets, relevant standards, and regulations and critical open issues that will have to be addressed in the future.

• Language: English
• Keywords: image based biometrics, face recognition, privacy, privacy–enhancing techniques, biometrics, data privacy, online social networking, image recognition, security, regulation
• Work type: Article
• Typology: 1.02 - Review Article
• Organization: FRI - Faculty of Computer and Information Science ; FE - Faculty of Electrical Engineering
• Publication status: Published
• Publication version: Version of Record
• Year: 2021
• Number of pages: Str. 4147-4183
• Numbering: Vol. 16
• PID: 20.500.12556/RUL-144727
• UDC: 004.93:57.087.1
• ISSN on article: 1556-6013
• DOI: 10.1109/TIFS.2021.3096024
• COBISS.SI-ID: 74973443
• Publication date in RUL: 09.03.2023

Record is a part of a journal

• Title: IEEE transactions on information forensics and security
• Publisher: Institute of Electrical and Electronics Engineers
• ISSN: 1556-6013
• COBISS.SI-ID: 5202004

Licences

• License: CC BY 4.0, Creative Commons Attribution 4.0 International
• Link: http://creativecommons.org/licenses/by/4.0/
• Description: This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

• Language: Slovenian
• Keywords: slikovna biometrija, prepoznavanje obrazov, zasebnost, tehnike izboljšave zasebnosti