xAI4Biometrics – Workshop on Explainable & Interpretable Artificial Intelligence for Biometrics at WAVC 2021

The xAI4Biometrics Workshop aims at promoting a better understanding, through explainability and interpretability, of currently common and accepted practices in several and varied applications of biometrics. These applications, in scenarios comprising identity verification for access/border control, watching lists surveillance, anti-spoofing measures embedded in biometric recognition systems, forensic applications, among many others, affect the daily life of an ever-growing population.

The xAI4Biometrics Workshop @ WACV 2021 will include five oral paper presentations and two keynote talks:

• "Explaining Deep Neural Network Decisions for Enhanced Biometric Systems" by Prof. Peter Eisert (Humboldt University Berlin and Fraunhofer HH)
• "At the Two Extremes of Interpretability in Machine Learning: Very Sparse Models and Interpretable Deep Neural Networks" by Prof. Cynthia Rudin (Duke University).

You are still on time to register and remotely attend, not only the workshop but also the WACV2021 conference for a very affordable fee.