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

9 papers

cs.LG2026

Distributed Learning as a Service: The Developer's Perspective

Tianyue Chu, Filippo Vannella, Dimitra Tsigkari +5

Application developers of distributed learning services face challenges that a typical federated learning loop does not address. Specifically, the model updates can still leak priv…

cs.CL2026

"OK Aura, Be Fair With Me": Demographics-Agnostic Training for Bias Mitigation in Wake-up Word Detection

Fernando López, Paula Delgado-Santos, Pablo Gómez +2

Voice-based interfaces are widely used; however, achieving fair Wake-up Word detection across diverse speaker populations remains a critical challenge due to persistent demographic…

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.HC2021★ 67 cited

A Survey of Privacy Vulnerabilities of Mobile Device Sensors

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

The number of mobile devices, such as smartphones and smartwatches, is relentlessly increasing to almost 6.8 billion by 2022, and along with it, the amount of personal and sensitiv…

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…