Giorgio Giacinto
Giorgio Giacinto
Verified email at - Homepage
Cited by
Cited by
Evasion attacks against machine learning at test time
B Biggio, I Corona, D Maiorca, B Nelson, N Šrndić, P Laskov, G Giacinto, ...
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013
Design of effective neural network ensembles for image classification purposes
G Giacinto, F Roli
Image and Vision Computing 19 (9-10), 699-707, 2001
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
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
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
Dynamic classifier selection based on multiple classifier behaviour
G Giacinto, F Roli
Pattern Recognition 34 (9), 1879-1881, 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
Fusion of multiple classifiers for intrusion detection in computer networks
G Giacinto, F Roli, L Didaci
Pattern recognition letters 24 (12), 1795-1803, 2003
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
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
Methods for designing multiple classifier systems
F Roli, G Giacinto, G Vernazza
International Workshop on Multiple Classifier Systems, 78-87, 2001
An approach to the automatic design of multiple classifier systems
G Giacinto, F Roli
Pattern recognition letters 22 (1), 25-33, 2001
Adversarial attacks against intrusion detection systems: Taxonomy, solutions and open issues
I Corona, G Giacinto, F Roli
Information sciences 239, 201-225, 2013
Reject option with multiple thresholds
G Fumera, F Roli, G Giacinto
Pattern recognition 33 (12), 2099-2101, 2000
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
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
Poisoning behavioral malware clustering
B Biggio, K Rieck, D Ariu, C Wressnegger, I Corona, G Giacinto, F Roli
Proceedings of the 2014 workshop on artificial intelligent and security …, 2014
HMMPayl: An intrusion detection system based on Hidden Markov Models
D Ariu, R Tronci, G Giacinto
computers & security 30 (4), 221-241, 2011
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
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
The system can't perform the operation now. Try again later.
Articles 1–20