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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 91
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TitoloData di pubblicazioneAutore(i)RivistaEditore
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
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
Digital Investigation of PDF Files: Unveiling Traces of Embedded Malware2019Maiorca, Davide; Biggio, BattistaIEEE SECURITY & PRIVACY
Poster: Attacking malware classifiers by crafting gradient-attacks that preserve functionality2019Labaca-Castro, R.; Biggio, B.; Rodosek, G. D.Association for Computing Machinery
Societal issues in machine learning: When learning from data is not enough2019Bacciu, D.; Biggio, B.; Lisboa, P. J. G.; Martin, J. D.; Oneto, L.; Vellido, A.ESANN (i6doc.com)
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
Chairs' introduction and welcome to AISEC 20192019Afroz, S.; Biggio, B.; Carlini, N.; Elovici, Y.; Shabtai, A.
Deep Learning and Security Workshop 20192019Rieck, K.; Biggio, B.; Vasiloglou, N.
Detecting adversarial examples through nonlinear dimensionality reduction2019Crecchi, F.; Bacciu, D.; Biggio, B.ESANN (i6doc.com)
Optimization and deployment of CNNs at the Edge: The ALOHA experience2019Meloni, P.; Loi, D.; Busia, P.; Deriu, G.; Pimentel, A. D.; Sapra, D.; Stefanov, T.; Minakova, S....; Conti, F.; Benini, L.; Pintor, M.; Biggio, B.; Moser, B.; Shepelev, N.; Fragoulis, N.; Theodorakopoulos, I.; Masin, M.; Palumbo, F.Association for Computing Machinery, Inc
Explaining Vulnerabilities of Deep Learning to Adversarial Malware Binaries2019Demetrio, Luca; Biggio, Battista; Lagorio, Giovanni; Roli, Fabio; Armando, Alessandro
Towards adversarial malware detection: lessons learned from PDF-based attacks2019Maiorca, D.; Biggio, B.; Giacinto, G.ACM COMPUTING SURVEYS
AISec'19: 12th ACM workshop on artificial intelligence and security2019Afroz, S.; Biggio, B.; Carlini, N.; Elovici, Y.; Shabtai, A.Association for Computing Machinery
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
Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning2018Jagielski, M.; Oprea, A.; Biggio, B.; Liu, C.; Nita-Rotaru, C.; Li, B.IEEE CS
Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables2018Kolosnjaji, Bojan; Demontis, Ambra; Biggio, Battista; Maiorca, Davide; Giacinto, Giorgio; Eckert,... Claudia; Roli, FabioIEEE
ALOHA: An architectural-aware framework for deep learning at the edge2018Meloni, P.; Loi, D.; Deriu, G.; Ripolles, O.; Solans, D.; Pimentel, A. D.; Sapra, D.; Pintor, M.;... Biggio, B.; Moser, B.; Shepeleva, N.; Stefanov, T.; Minakova, S.; Conti, F.; Benini, L.; Fragoulis, N.; Theodorakopoulos, I.; Masin, M.; Palumbo, F.Association for Computing Machinery
Chairs’ introduction and welcome to AISec 20182018Afroz, S.; Biggio, B.; Elovici, Y.; Freeman, D.; Shabtai, A.
   
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