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most citedHow Good is ChatGPT at Face Biometrics? A First Look into Recognition, Soft Biometrics, and Explainability

53 citations · 119 across the 33 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CV2023★ 1 cited

Keystroke Verification Challenge (KVC): Biometric and Fairness Benchmark Evaluation

Giuseppe Stragapede, Ruben Vera-Rodriguez, Ruben Tolosana +4

Analyzing keystroke dynamics (KD) for biometric verification has several advantages: it is among the most discriminative behavioral traits; keyboards are among the most common huma…

cs.CV2023★ 2 cited

FRCSyn Challenge at WACV 2024:Face Recognition Challenge in the Era of Synthetic Data

Pietro Melzi, Ruben Tolosana, Ruben Vera-Rodriguez +44

Despite the widespread adoption of face recognition technology around the world, and its remarkable performance on current benchmarks, there are still several challenges that must…

cs.CV2023

SynFacePAD 2023: Competition on Face Presentation Attack Detection Based on Privacy-aware Synthetic Training Data

Meiling Fang, Marco Huber, Julian Fierrez +21

This paper presents a summary of the Competition on Face Presentation Attack Detection Based on Privacy-aware Synthetic Training Data (SynFacePAD 2023) held at the 2023 Internation…

cs.CV2023

SaFL: Sybil-aware Federated Learning with Application to Face Recognition

Mahdi Ghafourian, Julian Fierrez, Ruben Vera-Rodriguez +2

Federated Learning (FL) is a machine learning paradigm to conduct collaborative learning among clients on a joint model. The primary goal is to share clients' local training parame…

cs.CV2023

Optimizing Key-Selection for Face-based One-Time Biometrics via Morphing

Daile Osorio-Roig, Mahdi Ghafourian, Christian Rathgeb +3

Nowadays, facial recognition systems are still vulnerable to adversarial attacks. These attacks vary from simple perturbations of the input image to modifying the parameters of the…