Fabio Roli
Citata da
Citata da
Evasion attacks against machine learning at test time
B Biggio, I Corona, D Maiorca, B Nelson, N Šrndić, P Laskov, G Giacinto, ...
Joint European conference on machine learning and knowledge discovery iná…, 2013
Wild patterns: Ten years after the rise of adversarial machine learning
B Biggio, F Roli
Pattern Recognition 84, 317-331, 2018
Design of effective neural network ensembles for image classification purposes
G Giacinto, F Roli
Image and Vision Computing 19 (9-10), 699-707, 2001
Security evaluation of pattern classifiers under attack
B Biggio, G Fumera, F Roli
IEEE transactions on knowledge and data engineering 26 (4), 984-996, 2013
Methods for designing multiple classifier systems
F Roli, G Giacinto, G Vernazza
International Workshop on Multiple Classifier Systems, 78-87, 2001
Towards poisoning of deep learning algorithms with back-gradient optimization
L Mu˝oz-Gonzßlez, B Biggio, A Demontis, A Paudice, V Wongrassamee, ...
Proceedings of the 10th ACM workshop on artificial intelligence and securityá…, 2017
Is feature selection secure against training data poisoning?
H Xiao, B Biggio, G Brown, G Fumera, C Eckert, F Roli
international conference on machine learning, 1689-1698, 2015
A theoretical and experimental analysis of linear combiners for multiple classifier systems
G Fumera, F Roli
IEEE transactions on pattern analysis and machine intelligence 27 (6), 942-956, 2005
Dynamic classifier selection based on multiple classifier behaviour
G Giacinto, F Roli
Pattern Recognition 34 (9), 1879-1882, 2001
Fusion of multiple classifiers for intrusion detection in computer networks
G Giacinto, F Roli, L Didaci
Pattern recognition letters 24 (12), 1795-1803, 2003
Adversarial malware binaries: Evading deep learning for malware detection in executables
B Kolosnjaji, A Demontis, B Biggio, D Maiorca, G Giacinto, C Eckert, ...
2018 26th European signal processing conference (EUSIPCO), 533-537, 2018
Intrusion detection in computer networks by a modular ensemble of one-class classifiers
G Giacinto, R Perdisci, M Del Rio, F Roli
Information Fusion 9 (1), 69-82, 2008
An approach to the automatic design of multiple classifier systems
G Giacinto, F Roli
Pattern recognition letters 22 (1), 25-33, 2001
Yes, machine learning can be more secure! a case study on android malware detection
A Demontis, M Melis, B Biggio, D Maiorca, D Arp, K Rieck, I Corona, ...
IEEE Transactions on Dependable and Secure Computing 16 (4), 711-724, 2017
Reject option with multiple thresholds
G Fumera, F Roli, G Giacinto
Pattern recognition 33 (12), 2099-2101, 2000
An extension of the Jeffreys-Matusita distance to multiclass cases for feature selection
L Bruzzone, F Roli, SB Serpico
IEEE Transactions on Geoscience and Remote Sensing 33 (6), 1318-1321, 1995
First international fingerprint liveness detection competition—LivDet 2009
GL Marcialis, A Lewicke, B Tan, P Coli, D Grimberg, A Congiu, A Tidu, ...
International Conference on Image Analysis and Processing, 12-23, 2009
Why do adversarial attacks transfer? explaining transferability of evasion and poisoning attacks
A Demontis, M Melis, M Pintor, M Jagielski, B Biggio, A Oprea, ...
28th USENIX security symposium (USENIX security 19), 321-338, 2019
Spam filtering based on the analysis of text information embedded into images.
G Fumera, I Pillai, F Roli
Journal of Machine Learning Research 7 (12), 2006
Adversarial feature selection against evasion attacks
F Zhang, PPK Chan, B Biggio, DS Yeung, F Roli
IEEE transactions on cybernetics 46 (3), 766-777, 2015
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
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