Person

Ivana Chingovska

This person is no longer with EPFL

Related publications (14)

Face Recognition Systems Under Spoofing Attacks

Sébastien Marcel, André Anjos, Ivana Chingovska

In this chapter we give an overview of spoofing attacks and spoofing counter-measures for face recognition systems, in particular in a verification sce- nario. We focus on 2D and 3D attacks to Visible Spectrum systems (VIS), as well as Near Infrared (NIR) ...

Idiap2020

Evaluation Methodologies for Biometric Presentation Attack Detection

Sébastien Marcel, André Anjos, Ivana Chingovska, Amir Mohammadi

Presentation attack detection (PAD, also known as anti-spoofing) systems, regardless of the technique, biometric mode or degree of independence of external equipment, are most commonly treated as binary classification systems. The two classes that they dif ...

Springer International Publishing2019

The need for automation of the identity recognition process for a vast number of applications resulted in great advancement of biometric systems in the recent years. Yet, many studies indicate that these systems suffer from vulnerabilities to spoofing (pre ...

EPFL2016

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In this chapter, we give an overview of spoofing attacks and spoofing countermeasures for face recognition systems , with a focus on visual spectrum systems (VIS) in 2D and 3D, as well as near-infrared (NIR) and multispectral systems . We cover the existin ...

Springer International Publishing2016

With biometrics playing the role of a password which can not be replaced if stolen, the necessity of establishing counter- measures to biometric spoofing attacks has been recognized. Regardless of the biometric mode, the typical approach of anti-spoofing s ...

2015

Anti-spoofing: Evaluation Methodologies

Sébastien Marcel, André Anjos, Ivana Chingovska

Following the definition of the task of the anti-spoofing systems to discriminate between real accesses and spoofing attacks, anti-spoofing can be regarded as a binary classification problem. The spoofing databases and the evaluation methodologies for anti ...

Springer US2014

Biometrics Evaluation Under Spoofing Attacks

Sébastien Marcel, André Anjos, Ivana Chingovska

While more accurate and reliable than ever, the trustworthiness of biometric verification systems is compromised by the emergence of spoofing attacks. Responding to this threat, numerous research publications address isolated spoofing detection, resulting ...

Ieee-Inst Electrical Electronics Engineers Inc2014

Anti-Spoofing: Face Databases

Sébastien Marcel, André Anjos, Ivana Chingovska

Datasets for the evaluation of face verification system vulnerabilities to spoofing attacks and for the evaluation of face spoofing countermeasures. ...

Springer US2014

The 2nd competition on counter measures to 2D face spoofing attacks

Sébastien Marcel, André Anjos, Ivana Chingovska, Tiago De Freitas Pereira, Shubham Bansal, Naser Damer, Dushyant Goyal, Tarun Krishna, Shubham Gupta

As a crucial security problem, anti-spoofing in biometrics, and particularly for the face modality, has achieved great progress in the recent years. Still, new threats arrive in form of better, more realistic and more sophisticated spoofing attacks. The ob ...

2013

Anti-spoofing in action: joint operation with a verification system

Sébastien Marcel, André Anjos, Ivana Chingovska

Besides the recognition task, today's biometric systems need to cope with additional problem: spoofing attacks. Up to date, academic research considers spoofing as a binary classification problem: systems are trained to discriminate between real accesses a ...

2013

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