Diego Gragnaniello

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Luisa VerdolivaProfessor at University Federico II of Naples, ItalyVerified email at unina.it
Giovanni PoggiUniversity Federico II of Naples, ITALYVerified email at unina.it
Carlo SansoneFull Professor, Dipartimento di Ingegneria Elettrica e delle Tecnologie dell'InformazioneVerified email at unina.it
Francesco MarraUniversity Federico II of NaplesVerified email at unina.it
Davide CozzolinoUniversity Federico II of NaplesVerified email at unina.it
Daniel RiccioUniversità di Napoli, Federico IIVerified email at unina.it
Maria FrucciNational Research Council (CNR) - Institute of High Performance Computing and networking (ICAR)Verified email at cnr.it
Richa SinghProfessor, IIT JodhpurVerified email at iitj.ac.in
Francesco RaimondiChief, Division of NeonatologyVerified email at unina.it
Kevin W. BowyerSchubmehl-Prein Family Professor of Computer Science and Engineering, University of Notre DameVerified email at nd.edu
Zhenan SunInstitute of Automation, Chinese Academy of SciencesVerified email at nlpr.ia.ac.cn
Adam CzajkaUniversity of Notre DameVerified email at nd.edu
S Schuckers; S CaswellClarkson UniversityVerified email at clarkson.edu
David YambayVerified email at clarkson.edu
Mayank VatsaProfessor, IIT JodhpurVerified email at iitj.ac.in
Lingxiao He (何凌霄)JD.com<<CASIAVerified email at jd.com
Santosh TirunagariSenior Machine Learning Developer, European Bioinformatics InstituteVerified email at ebi.ac.uk
Sébastien MarcelSenior researcher ( Idiap research institute ) and Professor ( University of Lausanne )Verified email at idiap.ch
Raghavendra RamachandraProfessor, Norwegian University of Science and Technology (NTNU), NorwayVerified email at ntnu.no
Christoph BuschProfessor for Biometrics, Norwegian University of Science and Technology (NTNU)Verified email at ntnu.no

Diego Gragnaniello

University of Salerno, Dept. of Computer Engineering, Electrical Engineering and Applied Mathematics

Verified email at unisa.it - Homepage

image processing deep learning digital image forensics medical imagery biometrics


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Detection of gan-generated fake images over social networks F Marra, D Gragnaniello, D Cozzolino, L Verdoliva 2018 IEEE conference on multimedia information processing and retrieval …, 2018	405	2018
Do gans leave artificial fingerprints? F Marra, D Gragnaniello, L Verdoliva, G Poggi 2019 IEEE conference on multimedia information processing and retrieval …, 2019	342	2019
An investigation of local descriptors for biometric spoofing detection D Gragnaniello, G Poggi, C Sansone, L Verdoliva IEEE transactions on information forensics and security 10 (4), 849-863, 2015	213	2015
LivDet iris 2017—Iris liveness detection competition 2017 D Yambay, B Becker, N Kohli, D Yadav, A Czajka, KW Bowyer, ... 2017 IEEE International Joint Conference on Biometrics (IJCB), 733-741, 2017	195	2017
Fingerprint Liveness Detection based on Weber Local Image Descriptor D Gragnaniello, G Poggi, C Sansone, L Verdoliva IEEE Workshop on Biometric Measurements and Systems for Security and Medical …, 2013	157	2013
Are GAN generated images easy to detect? A critical analysis of the state-of-the-art D Gragnaniello, D Cozzolino, F Marra, G Poggi, L Verdoliva 2021 IEEE international conference on multimedia and expo (ICME), 1-6, 2021	155	2021
Local contrast phase descriptor for fingerprint liveness detection D Gragnaniello, G Poggi, C Sansone, L Verdoliva Pattern Recognition 48 (4), 1050-1058, 2015	155	2015
Image forgery localization through the fusion of camera-based, feature-based and pixel-based techniques D Cozzolino, D Gragnaniello, L Verdoliva 2014 IEEE International Conference on Image Processing (ICIP), 5302-5306, 2014	143*	2014
Image forgery detection through residual-based local descriptors and block-matching D Cozzolino, D Gragnaniello, L Verdoliva 2014 IEEE international conference on image processing (ICIP), 5297-5301, 2014	129	2014
A full-image full-resolution end-to-end-trainable CNN framework for image forgery detection F Marra, D Gragnaniello, L Verdoliva, G Poggi IEEE Access 8, 133488-133502, 2020	110	2020
Iris Liveness Detection for Mobile Devices based on local descriptors D Gragnaniello, C Sansone, L Verdoliva Pattern Recognition Letters, 2014	87	2014
The 1st competition on counter measures to finger vein spoofing attacks P Tome, R Raghavendra, C Busch, S Tirunagari, N Poh, BH Shekar, ... 2015 international conference on biometrics (ICB), 513-518, 2015	77	2015
On the vulnerability of deep learning to adversarial attacks for camera model identification F Marra, D Gragnaniello, L Verdoliva Signal Processing: Image Communication 65, 240-248, 2018	60	2018
Analysis of adversarial attacks against CNN-based image forgery detectors D Gragnaniello, F Marra, G Poggi, L Verdoliva 2018 26th European Signal Processing Conference (EUSIPCO), 967-971, 2018	41	2018
A new unsupervised approach for segmenting and counting cells in high-throughput microscopy image sets D Riccio, N Brancati, M Frucci, D Gragnaniello IEEE journal of biomedical and health informatics 23 (1), 437-448, 2018	40	2018
Using iris and sclera for detection and classification of contact lenses D Gragnaniello, G Poggi, C Sansone, L Verdoliva Pattern Recognition Letters 82, 251-257, 2016	40	2016
Combining PRNU and noiseprint for robust and efficient device source identification D Cozzolino, F Marra, D Gragnaniello, G Poggi, L Verdoliva EURASIP Journal on Information Security 2020, 1-12, 2020	37	2020
Perceptual quality-preserving black-box attack against deep learning image classifiers D Gragnaniello, F Marra, G Poggi, L Verdoliva Pattern Recognition Letters, 2021	35	2021
Biologically-inspired dense local descriptor for indirect immunofluorescence image classification D Gragnaniello, C Sansone, L Verdoliva 2014 1st Workshop on Pattern Recognition Techniques for Indirect …, 2014	32	2014
Retinal vessels segmentation based on a convolutional neural network N Brancati, M Frucci, D Gragnaniello, D Riccio Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2018	31	2018

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