3 papers
cs.CV2026
EERLoss: A Novel Loss Function for Training Deep Biometric Models. A Case Study in Keystroke Dynamics
Nahuel Gonzalez, Marta Robledo-Moreno, Ivan DeAndres-Tame +2
Deep learning approaches to biometric verification are commonly trained by optimizing indirect objectives, creating a misalignment between the optimization process and the primary…
cs.CV2025
Type2Branch: Keystroke Biometrics based on a Dual-branch Architecture with Attention Mechanisms and Set2set Loss
Nahuel González, Giuseppe Stragapede, Rubén Vera-Rodriguez +1
In 2021, the pioneering work TypeNet showed that keystroke dynamics verification could scale to hundreds of thousands of users with minimal performance degradation. Recently, the K…
cs.HC2024
KVC-onGoing: Keystroke Verification Challenge
Giuseppe Stragapede, Ruben Vera-Rodriguez, Ruben Tolosana +27
This article presents the Keystroke Verification Challenge - onGoing (KVC-onGoing), on which researchers can easily benchmark their systems in a common platform using large-scale p…