activity
20162023
most citedReview of the Fingerprint Liveness Detection (LivDet) competition series: 2009 to 2015

124 citations · 243 across the 5 of their papers we have counts for

collaborators
Showing cs.CVShow all

6 papers · 1 filter

cs.CV202422 cited

Serial fusion of multi-modal biometric systems

Gian Luca Marcialis, Paolo Mastinu, Fabio Roli

Serial, or sequential, fusion of multiple biometric matchers has been not thoroughly investigated so far. However, this approach exhibits some advantages with respect to the widely…

cs.CV20232 cited

3D Face Reconstruction: the Road to Forensics

Simone Maurizio La Cava, Giulia Orrù, Martin Drahansky +2

3D face reconstruction algorithms from images and videos are applied to many fields, from plastic surgery to the entertainment sector, thanks to their advantageous features. Howeve…

cs.CV20231 cited

Adversarial Attacks Against Uncertainty Quantification

Emanuele Ledda, Daniele Angioni, Giorgio Piras +3

Machine-learning models can be fooled by adversarial examples, i.e., carefully-crafted input perturbations that force models to output wrong predictions. While uncertainty quantifi…

cs.CV2023

Hardening RGB-D Object Recognition Systems against Adversarial Patch Attacks

Yang Zheng, Luca Demetrio, Antonio Emanuele Cinà +6

RGB-D object recognition systems improve their predictive performances by fusing color and depth information, outperforming neural network architectures that rely solely on colors.…

cs.CV2016124 cited

Review of the Fingerprint Liveness Detection (LivDet) competition series: 2009 to 2015

Luca Ghiani, David A. Yambay, Valerio Mura +3

A spoof attack, a subset of presentation attacks, is the use of an artificial replica of a biometric in an attempt to circumvent a biometric sensor. Liveness detection, or presenta…

cs.CV201634 cited

Statistical Meta-Analysis of Presentation Attacks for Secure Multibiometric Systems

Battista Biggio, Giorgio Fumera, Gian Luca Marcialis +1

Prior work has shown that multibiometric systems are vulnerable to presentation attacks, assuming that their matching score distribution is identical to that of genuine users, with…