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IRIS è il sistema di gestione integrata dei dati della ricerca (persone, progetti, pubblicazioni, attività) adottato dall'Università degli Studi di Cagliari dal mese di luglio 2015.

Mostra risultati da 1 a 20 di 351
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TitoloData di pubblicazioneAutore(i)RivistaEditore
A novel classification-selection approach for the self updating of template-based face recognition systems2020Orrù, Giulia; Marcialis, Gian Luca; Roli, FabioPATTERN RECOGNITION
Adversarial Detection of Flash Malware: Limitations and Open Issues2020Maiorca, D.; Demontis, A.; Biggio, B.; Roli, F.; Giacinto, G.COMPUTERS & SECURITY
Deep neural rejection against adversarial examples2020SOTGIU, ANGELO; DEMONTIS, AMBRA; MELIS, MARCO; BIGGIO, BATTISTA; FUMERA, GIORGIO; Feng, Xiaoyi; R...OLI, FABIOEURASIP JOURNAL ON MULTIMEDIA AND INFORMATION SECURITY
DEICTIC: a compositional and declarative gesture description based on hidden markov models2019Carcangiu, Alessandro; Spano, Lucio Davide; Fumera, Giorgio; Roli, FabioINTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES
Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection2019Demontis, Ambra; Melis, Marco; Biggio, Battista; Maiorca, Davide; Arp, Daniel; Rieck, Konrad; Cor...ona, Igino; Giacinto, Giorgio; Roli, FabioIEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING
Review of fingerprint presentation attack detection competitions2019Yambay, David; Ghiani, Luca; Marcialis, Gian Luca; Roli, Fabio; Schuckers, StephanieADVANCES IN COMPUTER VISION AND PATTERN RECOGNITIONSpringer London
Towards quality assurance of software product lines with adversarial configurations2019Temple, P.; Acher, M.; Perrouin, G.; Biggio, B.; Jezequel, J. -M.; Roli, F.Association for Computing Machinery
Explaining Vulnerabilities of Deep Learning to Adversarial Malware Binaries2019Demetrio, Luca; Biggio, Battista; Lagorio, Giovanni; Roli, Fabio; Armando, Alessandro
Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks2019DEMONTIS, AMBRA; MELIS, MARCO; PINTOR, MAURA; Jagielski, Matthew; BIGGIO, BATTISTA; Oprea, Alina;... Nita-Rotaru, Cristina; ROLI, FABIOUSENIX Association
Wild patterns: ten years after the rise of adversarial machine learning2018Biggio, Battista; Roli, FabioPATTERN RECOGNITION
Multi-Stage Ranking Approach for Fast Person Re-Identification2018LAVI SEFIDGARI, Bahram; Fumera, Giorgio; Roli, FabioIET COMPUTER VISION
An experimental investigation on self adaptive facial recognition algorithms using a long time span data set2018Orru', Giulia; Marcialis, GIAN LUCA; Roli, FabioIEEE
Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables2018Kolosnjaji, Bojan; Demontis, Ambra; Biggio, Battista; Maiorca, Davide; Giacinto, Giorgio; Eckert,... Claudia; Roli, FabioIEEE
Wild patterns: Ten years after the rise of adversarial machine learning half-day tutorial2018Biggio, B.; Roli, F.Association for Computing Machinery
Explaining Black-box Android Malware Detection2018Melis, Marco; Maiorca, Davide; Biggio, Battista; Giacinto, Giorgio; Roli, FabioIEEE
Fingerprint Presentation Attacks Detection based on the User-Specific Effect2017Ghiani, Luca; Marcialis, GIAN LUCA; Roli, FabioIEEE
A parameter randomization approach for constructing classifier ensembles2017Santucci, Enrica; Didaci, Luca; Fumera, Giorgio; Roli, FabioPATTERN RECOGNITION
Randomized Prediction Games for Adversarial Machine Learning2017Rota Bulò, S; Biggio, Battista; Pillai, Ignazio; Pelillo, M; Roli, FabioIEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
Infinity-norm support vector machines against adversarial label contamination2017Demontis, Ambra; Biggio, Battista; Fumera, Giorgio; Giacinto, Giorgio; Roli, FabioCEUR WORKSHOP PROCEEDINGSCEUR-WS
Statistical meta-analysis of presentation attacks for secure multibiometric systems2017Biggio, B; Fumera, G; Marcialis, GL; Roli, FIEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
   
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