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

Related publications (71)

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A novel statistical generative model dedicated to face recognition

Sébastien Marcel, Guillaume Heusch

In this paper, a novel statistical generative model to describe a face is presented, and is applied to the face authentication task. Classical generative models used so far in face recognition, such as Gaussian Mixture Models (GMMs) and Hidden Markov Model ...

2010

On the Results of the First Mobile Biometry (MOBIO) Face and Speaker Verification Evaluation

Sébastien Marcel, Norman Hoon Thian Poh

This paper evaluates the performance of face and speaker verification techniques in the context of a mobile environment. The mobile environment was chosen as it provides a realistic and challenging test-bed for biometric person verification techniques to o ...

Idiap2010

Features extraction for low-power face verification

Patrick Stadelmann

Mobile communication devices now available on the market, such as so-called smartphones, are far more advanced than the first cellular phones that became very popular one decade ago. In addition to their historical purpose, namely enabling wireless vocal c ...

University of Neuchâtel2008

Biometrics and Identity Management

This volume constitutes the post-conference proceedings of the First European Workshop on Biometrics and Identity Management, BIOID 2008, held in Roskilde, Denmark, during May 7-9, 2008. The 23 regular papers presented were carefully selected from numerous ...

Springer2008

A Novel Statistical Generative Model Dedicated To Face Recognition

Sébastien Marcel, Guillaume Heusch

In this paper, a novel statistical generative model to describe a face is presented, and is applied on the face authentication task. Classical generative models used so far in face recognition, such as Gaussian Mixture Models (GMM) and Hidden Markov Models ...

IDIAP2007

Face Authentication with Salient Local Features and Static Bayesian Network

Sébastien Marcel, Guillaume Heusch

In this paper, the problem of face authentication using salient facial features together with statistical generative models is adressed. Actually, classical generative models, and Gaussian Mixture Models in particular make strong assumptions on the way obs ...

2007

Face Authentication with Salient Local Features and Static Bayesian Network

Sébastien Marcel, Guillaume Heusch

IDIAP2007

On the Recent Use of Local Binary Patterns for Face Authentication

Sébastien Marcel, Guillaume Heusch, Yann Rodriguez

This paper presents a survey on the recent use of Local Binary Patterns (LBPs) for face recognition. LBP is becoming a popular technique for face representation. It is a non-parametric kernel which summarizes the local spacial structure of an image and it ...

2007

Biometric Person Authentication IS A Multiple Classifier Problem

Samy Bengio

Several papers have already shown the interest of using multiple classifiers in order to enhance the performance of biometric person authentication systems. In this paper, we would like to argue that the core task of Biometric Person Authentication is actu ...

2007

Biometric Person Authentication IS A Multiple Classifier Problem

Samy Bengio

IDIAP2007