62 citations · 155 across the 19 of their papers we have counts for
24 papers
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…
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…
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,…
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…
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…
Improving fingerprint presentation attack detection by an approach integrated into the personal verification stage
Marco Micheletto, Giulia Orrù, Luca Ghiani +1
Presentation Attack Detection (PAD) systems are usually designed independently of the fingerprint verification system. While this can be acceptable for use cases where specific use…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
Analysis of "User-Specific Effect" and Impact of Operator Skills on Fingerprint PAD Systems
Giulia Orrù, Pierluigi Tuveri, Luca Ghiani +1
Fingerprint Liveness detection, or presentation attacks detection (PAD), that is, the ability of detecting if a fingerprint submitted to an electronic capture device is authentic o…
LivDet in Action - Fingerprint Liveness Detection Competition 2019
Giulia Orrù, Roberto Casula, Pierluigi Tuveri +5
The International Fingerprint liveness Detection Competition (LivDet) is an open and well-acknowledged meeting point of academies and private companies that deal with the problem o…
LivDet 2017 Fingerprint Liveness Detection Competition 2017
Valerio Mura, Giulia Orrù, Roberto Casula +5
Fingerprint Presentation Attack Detection (FPAD) deals with distinguishing images coming from artificial replicas of the fingerprint characteristic, made up of materials like silic…