activity
20202026
most citedA Survey of Privacy Vulnerabilities of Mobile Device Sensors

67 citations · 80 across the 8 of their papers we have counts for

collaborators
Showing cs.CVShow all

6 papers · 1 filter

cs.CV2023★ 1 cited

Exploring Transformers for On-Line Handwritten Signature Verification

Pietro Melzi, Ruben Tolosana, Ruben Vera-Rodriguez +4

The application of mobile biometrics as a user-friendly authentication method has increased in the last years. Recent studies have proposed novel behavioral biometric recognition s…

cs.CV2022★ 6 cited

TypeFormer: Transformers for Mobile Keystroke Biometrics

Giuseppe Stragapede, Paula Delgado-Santos, Ruben Tolosana +3

The broad usage of mobile devices nowadays, the sensitiveness of the information contained in them, and the shortcomings of current mobile user authentication methods are calling f…

cs.CV2022★ 1 cited

Mobile Keystroke Biometrics Using Transformers

Giuseppe Stragapede, Paula Delgado-Santos, Ruben Tolosana +3

Among user authentication methods, behavioural biometrics has proven to be effective against identity theft as well as user-friendly and unobtrusive. One of the most popular traits…

cs.CV2022★ 3 cited

Exploring Transformers for Behavioural Biometrics: A Case Study in Gait Recognition

Paula Delgado-Santos, Ruben Tolosana, Richard Guest +2

Biometrics on mobile devices has attracted a lot of attention in recent years as it is considered a user-friendly authentication method. This interest has also been motivated by th…

cs.CV2021★ 2 cited

GaitPrivacyON: Privacy-Preserving Mobile Gait Biometrics using Unsupervised Learning

Paula Delgado-Santos, Ruben Tolosana, Richard Guest +3

Numerous studies in the literature have already shown the potential of biometrics on mobile devices for authentication purposes. However, it has been shown that, the learning proce…

cs.CV2020

DeepWriteSYN: On-Line Handwriting Synthesis via Deep Short-Term Representations

Ruben Tolosana, Paula Delgado-Santos, Andres Perez-Uribe +3

This study proposes DeepWriteSYN, a novel on-line handwriting synthesis approach via deep short-term representations. It comprises two modules: i) an optional and interchangeable t…