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Sébastien Marcel

Related publications (214)

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Generating Master Faces for Use in PerformingWolf Attacks on Face Recognition Systems

Sébastien Marcel

Due to its convenience, biometric authentication, especial face authentication, has become increasingly mainstream and thus is now a prime target for attackers. Presentation attacks and face morphing are typical types of attack. Previous research has shown ...

IEEE2020

IMPROVING CROSS-DATASET PERFORMANCE OF FACE PRESENTATION ATTACK DETECTION SYSTEMS USING FACE RECOGNITION DATASETS

Sébastien Marcel, Amir Mohammadi

Presentation attack detection (PAD) is now considered critically important for any face-recognition (FR) based access-control system. Current deep-learning based PAD systems show excellent performance when they are tested in intra-dataset scenarios. Under ...

IEEE2020

Can Your Face Detector Do Anti-spoofing? Face Presentation Attack Detection with a Multi-Channel Face Detector

Sébastien Marcel

In a typical face recognition pipeline, the task ofthe face detector is to localize the face region. However, the facedetector localizes regions that look like a face, irrespective of theliveliness of the face, which makes the entire system susceptible to ...

Idiap2020

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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

The vulnerability of face recognition systems to presentation attacks has limited their application in security-critical scenarios. Automatic methods of detecting such malicious attempts are essential for the safe use of facial recognition technology. Alth ...

Idiap2020

Deepfake detection: humans vs. machines

Sébastien Marcel

Deepfake videos, where a person’s face is automatically swapped with a face of someone else, are becoming easier to generate with more realistic results. In response to the threat such manipulations can pose to our trust in video evidence, several large da ...

Idiap2020

The High-Quality Wide Multi-Channel Attack (HQ-WMCA) database

Sébastien Marcel, Guillaume Heusch, Zohreh Mostaani

The High-Quality Wide Multi-Channel Attack database (HQ-WMCA) database extends the previous Wide Multi-Channel Attack database(WMCA) \citegeorge_mccnn_tifs2019, with more channels including color, depth, thermal, infrared (spectra), and short-wave infrared ...

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

Heterogeneous Face Recognition Using Domain Specific Units

Sébastien Marcel, André Anjos, Tiago De Freitas Pereira

The task of Heterogeneous Face Recognition consists in matching face images that are sensed in different domains, such as sketches to photographs (visual spectra images), thermal images to photographs or near-infrared images to photographs. In this work we ...

2019

Recent Advances in Face Presentation Attack Detection

Sébastien Marcel, André Anjos, Amir Mohammadi

The undeniable convenience of face-recognition (FR) based biometrics has made it an attractive tool for access control in various applications, from immigration-control to remote banking. Widespread adopti on of face biometrics, however, depends on the how ...

Springer2019