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20212024
most citedExploit the Leak: Understanding Risks in Biometric Matchers

1 citations · 2 across the 5 of their papers we have counts for

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5 papers

cs.CR2024

Accuracy Limits as a Barrier to Biometric System Security

Axel Durbet, Paul-Marie Grollemund, Pascal Lafourcade +1

Biometric systems are widely used for identity verification and identification, including authentication (i.e., one-to-one matching to verify a claimed identity) and identification…

cs.CR2023★ 1 cited

Exploit the Leak: Understanding Risks in Biometric Matchers

Axel Durbet, Kevin Thiry-Atighehchi, Dorine Chagnon +1

In a biometric authentication or identification system, the matcher compares a stored and a fresh template to determine whether there is a match. This assessment is based on both a…

cs.CR2023★ 1 cited

Untargeted Near-collision Attacks on Biometrics: Real-world Bounds and Theoretical Limits

Axel Durbet, Paul-Marie Grollemund, Kevin Thiry-Atighehchi

A biometric recognition system can operate in two distinct modes: identification or verification. In the first mode, the system recognizes an individual by searching the enrolled t…

cs.CR2022

Near-collisions and their Impact on Biometric Security

Axel Durbet, Paul-Marie Grollemund, Pascal Lafourcade +1

Biometric recognition encompasses two operating modes. The first one is biometric identification which consists in determining the identity of an individual based on her biometrics…

cs.CR2021

Authentication Attacks on Projection-based Cancelable Biometric Schemes

Axel Durbet, Pascal Lafourcade, Denis Migdal +2

Cancelable biometric schemes aim at generating secure biometric templates by combining user specific tokens, such as password, stored secret or salt, along with biometric data. Thi…