Privacy-enhancing face biometrics

ǂa ǂcomprehensive survey

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

Povzetek

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.

Ključne besede

slikovna biometrija;prepoznavanje obrazov;zasebnost;tehnike izboljšave zasebnosti;image based biometrics;face recognition;privacy;privacy enhancing techniques;

Podatki

Jezik:	Angleški jezik
Leto izida:	2021
Tipologija:	1.02 - Pregledni znanstveni članek
Organizacija:	UL FE - Fakulteta za elektrotehniko
UDK:	004.93:57.087.1
COBISS:	74973443
ISSN:	1556-6013
Št. ogledov:	51
Št. prenosov:	19
Ocena:	0 (0 glasov)
Metapodatki:

Ostali podatki

Sekundarni jezik:	Slovenski jezik
Sekundarne ključne besede:	slikovna biometrija;prepoznavanje obrazov;zasebnost;tehnike izboljšave zasebnosti;
Vrsta dela (COBISS):	Članek v reviji
Strani:	str. 4147-4183
Zvezek:	ǂVol. ǂ16
Čas izdaje:	Jul. 2021
DOI:	10.1109/TIFS.2021.3096024
ID:	18209045