A convex variational approach for multiple removal in seismic data. - Diego Gragnaniello; Caroline Chaux; Jean-Christophe Pesquet; Laurent Duval (EUSIPCO, 2012)

Classification-based nonlocal SAR despeckling. - Diego Gragnaniello; Giovanni Poggi; Luisa Verdoliva (TyWRRS, 2012)

A novel framework for image forgery localization. - Davide Cozzolino; Diego Gragnaniello; Luisa Verdoliva (CoRR, 2013)

Image forgery detection based on the fusion of machine learning and block-matching methods. - Davide Cozzolino; Diego Gragnaniello; Luisa Verdoliva (CoRR, 2013)

Image forgery detection through residual-based local descriptors and block-matching. - Davide Cozzolino; Diego Gragnaniello; Luisa Verdoliva (ICIP, 2014)

Image forgery localization through the fusion of camera-based, feature-based and pixel-based techniques. - Davide Cozzolino; Diego Gragnaniello; Luisa Verdoliva (ICIP, 2014)

Biologically-Inspired Dense Local Descriptor for Indirect Immunofluorescence Image Classification. - Diego Gragnaniello; Carlo Sansone; Luisa Verdoliva (I3A@ICPR, 2014)

Contact Lens Detection and Classification in Iris Images through Scale Invariant Descriptor. - Diego Gragnaniello; Giovanni Poggi; Carlo Sansone; Luisa Verdoliva (SITIS, 2014)

The 1st Competition on Counter Measures to Finger Vein Spoofing Attacks. - Pedro Tome; Ramachandra Raghavendra; Christoph Busch 001; Santosh Tirunagari; Norman Poh; B. H. Shekar; Diego Gragnaniello; Carlo Sansone; Luisa Verdoliva; Sébastien Marcel (ICB, 2015)

SAR despeckling based on soft classification. - Diego Gragnaniello; Giovanni Poggi; Giuseppe Scarpa; Luisa Verdoliva (IGARSS, 2015)

Local contrast phase descriptor for fingerprint liveness detection. - Diego Gragnaniello; Giovanni Poggi; Carlo Sansone; Luisa Verdoliva (Pattern Recognit., 2015)

Iris liveness detection for mobile devices based on local descriptors. - Diego Gragnaniello; Carlo Sansone; Luisa Verdoliva (Pattern Recognit. Lett., 2015)

An Investigation of Local Descriptors for Biometric Spoofing Detection. - Diego Gragnaniello; Giovanni Poggi; Carlo Sansone; Luisa Verdoliva (IEEE Trans. Inf. Forensics Secur., 2015)

Scale Invariant Descriptor for Content Based Image Retrieval in Biomedical Applications. - Nadia Brancati; Diego Gragnaniello; Luisa Verdoliva (SITIS, 2016)

Biometric Spoofing Detection by a Domain-Aware Convolutional Neural Network. - Diego Gragnaniello; Carlo Sansone; Giovanni Poggi; Luisa Verdoliva (SITIS, 2016)

Using iris and sclera for detection and classification of contact lenses. - Diego Gragnaniello; Giovanni Poggi; Carlo Sansone; Luisa Verdoliva (Pattern Recognit. Lett., 2016)

Cell image classification by a scale and rotation invariant dense local descriptor. - Diego Gragnaniello; Carlo Sansone; Luisa Verdoliva (Pattern Recognit. Lett., 2016)

SAR Image Despeckling by Soft Classification. - Diego Gragnaniello; Giovanni Poggi; Giuseppe Scarpa; Luisa Verdoliva (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Retinal Vessels Segmentation Based on a Convolutional Neural Network. - Nadia Brancati; Maria Frucci; Diego Gragnaniello; Daniel Riccio (CIARP, 2017)

An Unsupervised Approach for Eye Sclera Segmentation. - Daniel Riccio; Nadia Brancati; Maria Frucci; Diego Gragnaniello (CIARP, 2017)

LivDet iris 2017 - Iris liveness detection competition 2017. - David Yambay; Benedict Becker; Naman Kohli; Daksha Yadav; Adam Czajka; Kevin W. Bowyer; Stephanie Schuckers; Richa Singh 001; Mayank Vatsa; Afzel Noore; Diego Gragnaniello; Carlo Sansone; et al. (IJCB, 2017)

Analysis of Adversarial Attacks against CNN-based Image Forgery Detectors. - Diego Gragnaniello; Francesco Marra; Giovanni Poggi; Luisa Verdoliva (EUSIPCO, 2018)

Detection of GAN-Generated Fake Images over Social Networks. - Francesco Marra; Diego Gragnaniello; Davide Cozzolino; Luisa Verdoliva (MIPR, 2018)

Automatic segmentation of pigment deposits in retinal fundus images of Retinitis Pigmentosa. - Nadia Brancati; Maria Frucci; Diego Gragnaniello; Daniel Riccio; Valentina Di Iorio; Luigi Di Perna (Comput. Medical Imaging Graph., 2018)

Learning-based approach to segment pigment signs in fundus images for Retinitis Pigmentosa analysis. - Nadia Brancati; Maria Frucci; Diego Gragnaniello; Daniel Riccio; Valentina Di Iorio; Luigi Di Perna; Francesca Simonelli (Neurocomputing, 2018)

On the vulnerability of deep learning to adversarial attacks for camera model identification. - Francesco Marra; Diego Gragnaniello; Luisa Verdoliva (Signal Process. Image Commun., 2018)

Do GANs Leave Artificial Fingerprints? - Francesco Marra; Diego Gragnaniello; Luisa Verdoliva; Giovanni Poggi (MIPR, 2019)

A New Unsupervised Approach for Segmenting and Counting Cells in High-Throughput Microscopy Image Sets. - Daniel Riccio; Nadia Brancati; Maria Frucci; Diego Gragnaniello (IEEE J. Biomed. Health Informatics, 2019)

Deep learning in the ultrasound evaluation of neonatal respiratory status. - Michela Gravina; Diego Gragnaniello; Luisa Verdoliva; Giovanni Poggi; Iuri Corsini; Carlo Dani; Fabio Meneghin; Gianluca Lista; Salvatore Aversa; Francesco Raimondi; Fiorella Migliaro; Carlo Sansone (ICPR, 2020)

A Full-Image Full-Resolution End-to-End-Trainable CNN Framework for Image Forgery Detection. - Francesco Marra; Diego Gragnaniello; Luisa Verdoliva; Giovanni Poggi (IEEE Access, 2020)

Combining PRNU and noiseprint for robust and efficient device source identification. - Davide Cozzolino; Francesco Marra; Diego Gragnaniello; Giovanni Poggi; Luisa Verdoliva (EURASIP J. Inf. Secur., 2020)

Deep learning-based non-intrusive detection of instabilities in formulated liquids. - Maurizio De Micco; Diego Gragnaniello; Fabio Zonfrilli; Massimiliano Maria Villone; Giovanni Poggi; Luisa Verdoliva; Vincenzo Guida (AI4I, 2021)

Are GAN Generated Images Easy to Detect? A Critical Analysis of the State-Of-The-Art. - Diego Gragnaniello; Davide Cozzolino; Francesco Marra; Giovanni Poggi; Luisa Verdoliva (ICME, 2021)

Towards Universal GAN Image Detection. - Davide Cozzolino; Diego Gragnaniello; Giovanni Poggi; Luisa Verdoliva (VCIP, 2021)

Guest Editorial: Adversarial Deep Learning in Biometrics & Forensics. - Rama Chellappa; Diego Gragnaniello; Chang-Tsun Li; Francesco Marra; Richa Singh 001 (Comput. Vis. Image Underst., 2021)

Perceptual quality-preserving black-box attack against deep learning image classifiers. - Diego Gragnaniello; Francesco Marra; Luisa Verdoliva; Giovanni Poggi (Pattern Recognit. Lett., 2021)

Detection of AI-Generated Synthetic Faces. - Diego Gragnaniello; Francesco Marra; Luisa Verdoliva (Handbook of Digital Face Manipulation and Detection, 2022)

Virtual special issue on advances in digital security: Biometrics and forensics. - Diego Gragnaniello; Chang-Tsun Li; Francesco Marra; Daniel Riccio (Pattern Recognit. Lett., 2022)

On-Chip Spike Detection and Classification using Neural Networks and Approximate Computing. - Efstratios Zacharelos; Ciro Scognamillo; Ettore Napoli; Diego Gragnaniello (BioCAS, 2023)

ONFIRE Contest 2023: Real-Time Fire Detection on the Edge. - Diego Gragnaniello; Antonio Greco 001; Carlo Sansone; Bruno Vento (ICIAP Workshops (1), 2023)

Benchmarking 2D Multi-Object Detection and Tracking Algorithms in Autonomous Vehicle Driving Scenarios. - Diego Gragnaniello; Antonio Greco 001; Alessia Saggese; Mario Vento; Antonio Vicinanza (Sensors, 2023)

Smart visual sensors for real time weather and ground conditions recognition for agricultural robotics. - Diego Gragnaniello; Antonio Greco 001; Carlo Sansone; Bruno Vento (CASE, 2024)

Fire and smoke detection from videos: A literature review under a novel taxonomy. - Diego Gragnaniello; Antonio Greco 001; Carlo Sansone; Bruno Vento (Expert Syst. Appl., 2024)

Real-time joint recognition of weather and ground surface conditions by a multi-task deep network. - Diego Gragnaniello; Antonio Greco 001; Carlo Sansone; Bruno Vento (Eng. Appl. Artif. Intell., 2025)

FOCUS: Improving fire detection on videos by scenario adaptation. - Diego Gragnaniello; Antonio Greco 001; Carlo Sansone; Bruno Vento (Image Vis. Comput., 2025)

Onfire 2023 Contest: what did we learn about real time fire detection from cameras? - Diego Gragnaniello; Antonio Greco 001; Carlo Sansone; Bruno Vento (J. Ambient Intell. Humaniz. Comput., 2025)

FLAME: fire detection in videos combining a deep neural network with a model-based motion analysis. - Diego Gragnaniello; Antonio Greco 001; Carlo Sansone; Bruno Vento (Neural Comput. Appl., 2025)