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Giorgio Giacinto
Giorgio Giacinto
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Cited by
Cited by
Year
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 in …, 2013
10432013
Design of effective neural network ensembles for image classification purposes
G Giacinto, F Roli
Image and Vision Computing 19 (9-10), 699-707, 2001
5782001
McPAD: A multiple classifier system for accurate payload-based anomaly detection
R Perdisci, D Ariu, P Fogla, G Giacinto, W Lee
Computer networks 53 (6), 864-881, 2009
3382009
Novel feature extraction, selection and fusion for effective malware family classification
M Ahmadi, D Ulyanov, S Semenov, M Trofimov, G Giacinto
Proceedings of the sixth ACM conference on data and application security and …, 2016
3182016
Dynamic classifier selection based on multiple classifier behaviour
G Giacinto, F Roli
Pattern Recognition 34 (9), 1879-1882, 2001
3152001
Fusion of multiple classifiers for intrusion detection in computer networks
G Giacinto, F Roli, L Didaci
Pattern recognition letters 24 (12), 1795-1803, 2003
2892003
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
2692008
Methods for designing multiple classifier systems
F Roli, G Giacinto, G Vernazza
International Workshop on Multiple Classifier Systems, 78-87, 2001
2682001
An approach to the automatic design of multiple classifier systems
G Giacinto, F Roli
Pattern recognition letters 22 (1), 25-33, 2001
2602001
Reject option with multiple thresholds
G Fumera, F Roli, G Giacinto
Pattern recognition 33 (12), 2099-2101, 2000
2292000
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
2212018
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
2032017
Droidsieve: Fast and accurate classification of obfuscated android malware
G Suarez-Tangil, SK Dash, M Ahmadi, J Kinder, G Giacinto, L Cavallaro
Proceedings of the Seventh ACM on Conference on Data and Application …, 2017
2002017
Adversarial attacks against intrusion detection systems: Taxonomy, solutions and open issues
I Corona, G Giacinto, F Roli
Information Sciences 239, 201-225, 2013
1902013
Combination of neural and statistical algorithms for supervised classification of remote-sensing images
G Giacinto, F Roli, L Bruzzone
pattern recognition letters 21 (5), 385-397, 2000
1852000
Alarm clustering for intrusion detection systems in computer networks
R Perdisci, G Giacinto, F Roli
Engineering Applications of Artificial Intelligence 19 (4), 429-438, 2006
1602006
Methods for dynamic classifier selection
G Giacinto, F Roli
Proceedings 10th international conference on image analysis and processing …, 1999
1531999
Stealth attacks: An extended insight into the obfuscation effects on android malware
D Maiorca, D Ariu, I Corona, M Aresu, G Giacinto
Computers & Security 51, 16-31, 2015
1522015
A study on the performances of dynamic classifier selection based on local accuracy estimation
L Didaci, G Giacinto, F Roli, GL Marcialis
Pattern recognition 38 (11), 2188-2191, 2005
1512005
HMMPayl: An intrusion detection system based on Hidden Markov Models
D Ariu, R Tronci, G Giacinto
computers & security 30 (4), 221-241, 2011
1482011
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