activity
20162026
most citedReview of the Fingerprint Liveness Detection (LivDet) competition series: 2009 to 2015

124 citations · 337 across the 24 of their papers we have counts for

collaborators

29 papers

cs.CV2026

A Valid Watermark Is Not a Valid Identity: Spatial-Spectral Adversarial Face Evasion with Watermark Preservation

Jefferson David Rodriguez Chivata, Davide Ghiani, Simone Maurizio La Cava +3

Facial image watermarking can support traceability and certification in biometric pipelines, but provenance or manipulation detection alone does not guarantee reliable biometric id…

cs.CV2025

Deceptive Beauty: Evaluating the Impact of Beauty Filters on Deepfake and Morphing Attack Detection

Sara Concas, Simone Maurizio La Cava, Andrea Panzino +3

Digital beautification through social media filters has become increasingly popular, raising concerns about the reliability of facial images and videos and the effectiveness of aut…

cs.CV2025

Deep Data Hiding for ICAO-Compliant Face Images: A Survey

Jefferson David Rodriguez Chivata, Davide Ghiani, Simone Maurizio La Cava +4

ICAO-compliant facial images, initially designed for secure biometric passports, are increasingly becoming central to identity verification in a wide range of application contexts,…

cs.CV2025

Exploiting Multiple Representations: 3D Face Biometrics Fusion with Application to Surveillance

Simone Maurizio La Cava, Roberto Casula, Sara Concas +5

3D face reconstruction (3DFR) algorithms are based on specific assumptions tailored to the limits and characteristics of the different application scenarios. In this study, we inve…

cs.CV2025

Fragile Watermarking for Image Certification Using Deep Steganographic Embedding

Davide Ghiani, Jefferson David Rodriguez Chivata, Stefano Lilliu +5

Modern identity verification systems increasingly rely on facial images embedded in biometric documents such as electronic passports. To ensure global interoperability and security…

cs.CR2024

Vulnerabilities in Machine Learning-Based Voice Disorder Detection Systems

Gianpaolo Perelli, Andrea Panzino, Roberto Casula +3

The impact of voice disorders is becoming more widely acknowledged as a public health issue. Several machine learning-based classifiers with the potential to identify disorders hav…

cs.CV2024

Exploring 3D Face Reconstruction and Fusion Methods for Face Verification: A Case-Study in Video Surveillance

Simone Maurizio La Cava, Sara Concas, Ruben Tolosana +5

3D face reconstruction (3DFR) algorithms are based on specific assumptions tailored to distinct application scenarios. These assumptions limit their use when acquisition conditions…

cs.CV2024★ 2 cited

Deepfake Media Forensics: State of the Art and Challenges Ahead

Irene Amerini, Mauro Barni, Sebastiano Battiato +21

AI-generated synthetic media, also called Deepfakes, have significantly influenced so many domains, from entertainment to cybersecurity. Generative Adversarial Networks (GANs) and…

cs.CV2024★ 7 cited

SDFR: Synthetic Data for Face Recognition Competition

Hatef Otroshi Shahreza, Christophe Ecabert, Anjith George +25

Large-scale face recognition datasets are collected by crawling the Internet and without individuals' consent, raising legal, ethical, and privacy concerns. With the recent advance…

cs.HC2024★ 2 cited

A Novel Approach to Personalized Personality Assessment with the Attachment-Caregiving Questionnaire (ACQ): First Evidence in favor of AI-Oriented Inventory Designs

Marcantonio Gagliardi, Marina Bonadeni, Sara Billai +1

Background. Personality is a primary object of interest in clinical psychology and psychiatry. It is most often measured using questionnaires, which rely on Factor Analysis (FA) to…

cs.CV2024★ 22 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.CV2023★ 1 cited

LivDet2023 -- Fingerprint Liveness Detection Competition: Advancing Generalization

Marco Micheletto, Roberto Casula, Giulia Orrù +5

The International Fingerprint Liveness Detection Competition (LivDet) is a biennial event that invites academic and industry participants to prove their advancements in Fingerprint…

cs.CV2023★ 2 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.CR2023

Introduction to Presentation Attack Detection in Fingerprint Biometrics

Javier Galbally, Julian Fierrez, Raffaele Cappelli +1

This chapter provides an introduction to Presentation Attack Detection (PAD) in fingerprint biometrics, also coined anti-spoofing, describes early developments in this field, and b…

cs.CV2023★ 8 cited

3D Face Reconstruction for Forensic Recognition -- A Survey

Simone Maurizio La Cava, Giulia Orrù, Tomáš Goldmann +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.CV2022★ 1 cited

Review of the Fingerprint Liveness Detection (LivDet) competition series: from 2009 to 2021

Marco Micheletto, Giulia Orrù, Roberto Casula +3

Fingerprint authentication systems are highly vulnerable to artificial reproductions of fingerprint, called fingerprint presentation attacks. Detecting presentation attacks is not…

cs.CR2021★ 10 cited

Fingerprint recognition with embedded presentation attacks detection: are we ready?

Marco Micheletto, Gian Luca Marcialis, Giulia Orrù +1

The diffusion of fingerprint verification systems for security applications makes it urgent to investigate the embedding of software-based presentation attack detection algorithms…

cs.CV2021★ 28 cited

LivDet 2021 Fingerprint Liveness Detection Competition -- Into the unknown

Roberto Casula, Marco Micheletto, Giulia Orrù +4

The International Fingerprint Liveness Detection Competition is an international biennial competition open to academia and industry with the aim to assess and report advances in Fi…

cs.CV2020

Electroencephalography signal processing based on textural features for monitoring the driver's state by a Brain-Computer Interface

Giulia Orrù, Marco Micheletto, Fabio Terranova +1

In this study we investigate a textural processing method of electroencephalography (EEG) signal as an indicator to estimate the driver's vigilance in a hypothetical Brain-Computer…

cs.CV2020

Detecting Anomalies from Video-Sequences: a Novel Descriptor

Giulia Orrù, Davide Ghiani, Maura Pintor +2

We present a novel descriptor for crowd behavior analysis and anomaly detection. The goal is to measure by appropriate patterns the speed of formation and disintegration of groups…

cs.CV2020★ 2 cited

Are Adaptive Face Recognition Systems still Necessary? Experiments on the APE Dataset

Giulia Orrù, Marco Micheletto, Julian Fierrez +1

In the last five years, deep learning methods, in particular CNN, have attracted considerable attention in the field of face-based recognition, achieving impressive results. Despit…

cs.CV2020

Experimental results on palmvein-based personal recognition by multi-snapshot fusion of textural features

Mohanad Abukmeil, Gian Luca Marcialis

In this paper, we investigate multiple snapshot fusion of textural features for palmvein recognition including identification and verification. Although the literature proposed sev…

cs.CV2020

Are spoofs from latent fingerprints a real threat for the best state-of-art liveness detectors?

Roberto Casula, Giulia Orrù, Daniele Angioni +3

We investigated the threat level of realistic attacks using latent fingerprints against sensors equipped with state-of-art liveness detectors and fingerprint verification systems w…

cs.CV2019★ 27 cited

A novel classification-selection approach for the self updating of template-based face recognition systems

Giulia Orrù, Gian Luca Marcialis, Fabio Roli

The boosting on the need of security notably increased the amount of possible facial recognition applications, especially due to the success of the Internet of Things (IoT) paradig…