Privacy–enhancing face biometrics : a comprehensive survey

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

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.

• Jezik: Angleški jezik
• Ključne besede: image based biometrics, face recognition, privacy, privacy–enhancing techniques, biometrics, data privacy, online social networking, image recognition, security, regulation
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.02 - Pregledni znanstveni članek
• Organizacija: FRI - Fakulteta za računalništvo in informatiko; FE - Fakulteta za elektrotehniko
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2021
• Št. strani: Str. 4147-4183
• Številčenje: Vol. 16
• PID: 20.500.12556/RUL-144727
• UDK: 004.93:57.087.1
• ISSN pri članku: 1556-6013
• DOI: 10.1109/TIFS.2021.3096024
• COBISS.SI-ID: 74973443
• Datum objave v RUL: 09.03.2023

Gradivo je del revije

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

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: slikovna biometrija, prepoznavanje obrazov, zasebnost, tehnike izboljšave zasebnosti