activity
20192026
most citedA Survey of Privacy Vulnerabilities of Mobile Device Sensors

67 citations · 105 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2026

SCHIGAND: A Synthetic Facial Generation Mode Pipeline

Ananya Kadali, Sunnie Jehan-Morrison, Orasiki Wellington +3

The growing demand for diverse and high-quality facial datasets for training and testing biometric systems is challenged by privacy regulations, data scarcity, and ethical concerns…

cs.CY2025

Facial Age Estimation: A Research Roadmap for Technological and Legal Development and Deployment

Richard Guest, Eva Lievens, Martin Sas +5

Automated facial age assessment systems operate in either estimation mode - predicting age based on facial traits, or verification mode - confirming a claimed age. These systems su…

cs.CV2024★ 15 cited

Investigating the Common Authorship of Signatures by Off-Line Automatic Signature Verification Without the Use of Reference Signatures

Moises Diaz, Miguel A. Ferrer, Soodamani Ramalingam +1

In automatic signature verification, questioned specimens are usually compared with reference signatures. In writer-dependent schemes, a number of reference signatures are required…

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.HC2019★ 11 cited

Exploiting Complexity in Pen- and Touch-based Signature Biometrics

Ruben Tolosana, Ruben Vera-Rodriguez, Richard Guest +2

Biometric signature verification has been traditionally performed in pen-based office-like scenarios using devices specifically designed for acquiring handwriting. However, the hig…