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Sébastien Marcel

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Publications associées (51)

Detection of Age-Induced Makeup Attacks on Face Recognition Systems Using Multi-Layer Deep Features

Sébastien Marcel, Zohreh Mostaani

Makeup is a simple and easy instrument that can alter the appearance of a person’s face, and hence, create a presentation attack on face recognition (FR) systems. These attacks, especially the ones mimicking ageing, are difficult to detect due to their clo ...

2020

Low-latency speaker spotting with online diarization and detection

Sébastien Marcel, Nicholas Evans

This paper introduces a new task termed low-latency speaker spotting (LLSS). Related to security and intelligence applications, the task involves the detection, as soon as possible, of known speakers within multi-speaker audio streams. The paper describes ...

2018

Towards directly modeling raw speech signal for speaker verification using CNNs

Sébastien Marcel, Hannah Muckenhirn

Speaker verification systems traditionally extract and model cepstral features or filter bank energies from the speech signal. In this paper, inspired by the success of neural network-based approaches to model directly raw speech signal for applications su ...

IEEE2018

Biometrics: In Search of Identity and Security (Q & A)

Sébastien Marcel

To address the issues like identity theft and security threats, a continuously evolving technology known as biometrics is presently being deployed in a wide range of personal, government, and commercial applications. Despite the great progress in the field ...

2018

On Learning Vocal Tract System Related Speaker Discriminative Information from Raw Signal Using CNNs

Sébastien Marcel, Hannah Muckenhirn

In a recent work, we have shown that speaker verification systems can be built where both features and classifiers are directly learned from the raw speech signal with convolutional neural networks (CNNs). In this framework, the training phase also decides ...

ISCA-INT SPEECH COMMUNICATION ASSOC2018

Impact of score fusion on voice biometrics and presentation attack detection in cross-database evaluations

Sébastien Marcel

Research in the area of automatic speaker verification (ASV) has been advanced enough for the industry to start using ASV systems in practical applications. However, these systems are highly vulnerable to spoofing or presentation attacks, limiting their wi ...

2017

Long-Term Spectral Statistics for Voice Presentation Attack Detection

Mathew Magimai Doss, Sébastien Marcel, Hannah Muckenhirn

Automatic speaker verification systems can be spoofed through recorded, synthetic or voice converted speech of target speakers. To make these systems practically viable, the detection of such attacks, referred to as presentation attacks, is of paramount in ...

2017

A reproducible study on remote heart rate measurement

Guillaume Heusch, Sébastien Marcel, André Anjos

This paper studies the problem of reproducible research in remote photoplethysmography (rPPG). Most of the work published in this domain is assessed on privately-owned databases, making it difficult to evaluate proposed algorithms in a standard and princip ...

2017

Deeply Vulnerable -- a study of the robustness of face recognition to presentation attacks

Sébastien Marcel, Amir Mohammadi

The vulnerability of deep-learning-based face-recognition (FR) methods, to presentation attacks (PA), is studied in this study. Recently, proposed FR methods based on deep neural networks (DNN) have been shown to outperform most other methods by a signific ...

Inst Engineering Technology-Iet2017

Keystroke Biometrics Ongoing Competition

Sébastien Marcel, André Anjos

This paper presents the first Keystroke Biometrics Ongoing Competition (KBOC) organized to establish a reproducible baseline in person authentication using keystroke biometrics. The competition has been developed using the BEAT platform and includes one of ...

2016

Presentation Attack Detection Using Long-Term Spectral Statistics for Trustworthy Speaker Verification

Mathew Magimai Doss, Sébastien Marcel, Hannah Muckenhirn

In recent years, there has been a growing interest in developing countermeasures against non zero-effort attacks for speaker verification systems. Until now, the focus has been on logical access attacks, where the spoofed samples are injected into the syst ...

Ieee2016

Impact of Eye Detection Error on Face Recognition Performance

Sébastien Marcel, Abhishek Dutta, Laurent El Shafey

The location of the eyes is the most commonly used features to perform face normalization (i.e., alignment of facial features), which is an essential preprocessing stage of many face recognition systems. In this paper, we study the sensitivity of open sour ...

2015

Joint Speaker Verification and Anti-Spoofing in the i-Vector Space

Sébastien Marcel

Any biometric recognizer is vulnerable to spoofing attacks and hence voice biometric, also called automatic speaker verification (ASV), is no exception; replay, synthesis, and conversion attacks all provoke false acceptances unless countermeasures are used ...

2015

Face liveness detection using dynamic texture

Sébastien Marcel, André Anjos, Tiago De Freitas Pereira

User authentication is an important step to protect information, and in this context, face biometrics is potentially advantageous. Face biometrics is natural, intuitive, easy to use, and less human-invasive. Unfortunately, recent work has revealed that fac ...

2014

Score Calibration in Face Recognition

Sébastien Marcel

This paper presents an evaluation of verification and calibration performance of a face recognition system based on inter-session variability modeling. As an extension to the calibration through linear transformation of scores, categorical calibration is i ...

2014

Bi-Modal Biometric Authentication on Mobile Phones in Challenging Conditions

Sébastien Marcel, Laurent El Shafey

This paper examines the issue of face, speaker and bi-modal authentication in mobile environments when there is significant condition mismatch. We introduce this mismatch by enrolling client models on high quality biometric samples obtained on a laptop com ...

2014

Spoofing Face Recognition with 3D Masks

Sébastien Marcel

Spoofing is the act of masquerading as a valid user by falsifying data to gain an illegitimate access. Vulnerability of recognition systems to spoofing attacks (presentation attacks) is still an open security issue in biometrics domain and among all biomet ...

2014

Biometrics Evaluation Under Spoofing Attacks

Sébastien Marcel, Ivana Chingovska, André Anjos

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

Motion-Based Counter-Measures to Photo Attacks in Face Recognition

Sébastien Marcel, Murali Mohan Chakka, André Anjos

Identity spoofing is a contender for high-security face recognition applications. With the advent of social media and globalized search, our face images and videos are wide-spread on the internet and can be potentially used to attack biometric systems with ...

2014

Alternative search techniques for face detection using location estimation and binary features

Sébastien Marcel, Venkatesh Bala Subburaman

The sliding window approach is the most widely used technique to detect an object from an image. In the past few years, classifiers have been improved in many ways to increase the scanning speed. Apart from the classifier design (such as the cascade), the ...

Academic Press Inc Elsevier Science2013

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