Publications associées à Embedding Local Quality Measures in Minutiae-Based Biometric Recognition

A Practical Influence Approximation for Privacy-Preserving Data Filtering in Federated Learning

Boi Faltings, Ljubomir Rokvic, Panayiotis Danassis

Federated Learning by nature is susceptible to low-quality, corrupted, or even malicious data that can severely degrade the quality of the learned model. Traditional techniques for data valuation cannot be applied as the data is never revealed. We present ...

2023

Indexing Protected Deep Face Templates by Frequent Binary Patterns

Sébastien Marcel, Hatef Otroshi Shahreza

In this work, we present a simple biometric indexing scheme which is binning and retrieving cancelable deep face templates based on frequent binary patterns. The simplicity of the proposed approach makes it applicable to unprotected as well as protected, i ...

IEEE2022

Are GAN-based Morphs Threatening Face Recognition?

Sébastien Marcel, Eklavya Sarkar, Laurent Colbois

Morphing attacks are a threat to biometric systems where the biometric reference in an identity document can be altered. This form of attack presents an important issue in applications relying on identity documents such as border security or access control ...

IEEE2022

Hybrid Protection of Biometric Templates by Combining Homomorphic Encryption and Cancelable Biometrics

Sébastien Marcel, Hatef Otroshi Shahreza

Homomorphic Encryption (HE) has become a wellknown tool for privacy-preserving recognition in biometric systems. Despite some important advantages of HE (such as preservation of recognition accuracy), there are two main drawbacks in the application of HE t ...

IEEE2022

Privacy and Integrity Preserving Computations with CRISP

Jean-Pierre Hubaux, Juan Ramón Troncoso-Pastoriza, Sylvain Chatel, Apostolos Pyrgelis

In the digital era, users share their personal data with service providers to obtain some utility, e.g., access to high-quality services. Yet, the induced information flows raise privacy and integrity concerns. Consequently, cautious users may want to prot ...

USENIX ASSOC2021

Fairness in Biometrics: a figure of merit to assess biometric verification systems

Sébastien Marcel, Tiago De Freitas Pereira

Machine learning-based (ML) systems are being largely deployed since the last decade in a myriad of scenarios impacting several instances in our daily lives. With this vast sort of applications, aspects of fairness start to rise in the spotlight due to the ...

2020

Vulnerability Analysis of Face Morphing Attacks from Landmarks and Generative Adversarial Networks

Sébastien Marcel, Eklavya Sarkar, Laurent Colbois

Morphing attacks is a threat to biometric systems where the biometric reference in an identity document can be altered. This form of attack presents an important issue in applications relying on identity documents such as border security or access control. ...

Idiap2020

Smartphone Multi-modal Biometric Authentication: Database and Evaluation

Sébastien Marcel, Amir Mohammadi

Biometric-based verification is widely employed on the smartphones for various applications, including financial transactions. In this work, we present a new multimodal biometric dataset (face, voice, and periocular) acquired using a smartphone. The new da ...

Idiap2020

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Embedding Local Quality Measures in Minutiae-Based Biometric Recognition

incentive Mechanism Design for Responsible Data Governance: A Large-Scale Field Experiment

A Practical Influence Approximation for Privacy-Preserving Data Filtering in Federated Learning

Indexing Protected Deep Face Templates by Frequent Binary Patterns

Are GAN-based Morphs Threatening Face Recognition?

Hybrid Protection of Biometric Templates by Combining Homomorphic Encryption and Cancelable Biometrics

Privacy and Integrity Preserving Computations with CRISP

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

Fairness in Biometrics: a figure of merit to assess biometric verification systems

Vulnerability Analysis of Face Morphing Attacks from Landmarks and Generative Adversarial Networks

Smartphone Multi-modal Biometric Authentication: Database and Evaluation

Graph Chatbot

Chattez avec Graph Search

A Practical Influence Approximation for Privacy-Preserving Data Filtering in Federated Learning

incentive Mechanism Design for Responsible Data Governance: A Large-Scale Field Experiment

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

Indexing Protected Deep Face Templates by Frequent Binary Patterns

Hybrid Protection of Biometric Templates by Combining Homomorphic Encryption and Cancelable Biometrics

Vulnerability Analysis of Face Morphing Attacks from Landmarks and Generative Adversarial Networks

Smartphone Multi-modal Biometric Authentication: Database and Evaluation

Privacy and Integrity Preserving Computations with CRISP

Are GAN-based Morphs Threatening Face Recognition?

Fairness in Biometrics: a figure of merit to assess biometric verification systems