| 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 | 652 | 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 | 510 | 2001 |
| 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 | 301 | 2009 |
| Dynamic classifier selection based on multiple classifier behaviour G Giacinto, F Roli Pattern Recognition 34 (9), 1879-1882, 2001 | 297 | 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 | 270 | 2003 |
| Methods for designing multiple classifier systems F Roli, G Giacinto, G Vernazza International Workshop on Multiple Classifier Systems, 78-87, 2001 | 260 | 2001 |
| An approach to the automatic design of multiple classifier systems G Giacinto, F Roli Pattern recognition letters 22 (1), 25-33, 2001 | 253 | 2001 |
| 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 | 249 | 2008 |
| 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 | 213 | 2016 |
| Reject option with multiple thresholds G Fumera, F Roli, G Giacinto Pattern recognition 33 (12), 2099-2101, 2000 | 205 | 2000 |
| 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 | 173 | 2000 |
| 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 | 151 | 2006 |
| Adversarial attacks against intrusion detection systems: Taxonomy, solutions and open issues I Corona, G Giacinto, F Roli Information Sciences 239, 201-225, 2013 | 148 | 2013 |
| 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 | 143 | 2005 |
| Methods for dynamic classifier selection G Giacinto, F Roli Proceedings 10th International Conference on Image Analysis and Processing …, 1999 | 136 | 1999 |
| Design of effective multiple classifier systems by clustering of classifiers G Giacinto, F Roli, G Fumera Proceedings 15th International Conference on Pattern Recognition. ICPR-2000 …, 2000 | 132 | 2000 |
| HMMPayl: An intrusion detection system based on Hidden Markov Models D Ariu, R Tronci, G Giacinto computers & security 30 (4), 221-241, 2011 | 127 | 2011 |
| 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 | 125 | 2017 |
| 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, 2017 | 121 | 2017 |
| Early detection of malicious flux networks via large-scale passive DNS traffic analysis R Perdisci, I Corona, G Giacinto IEEE Transactions on Dependable and Secure Computing 9 (5), 714-726, 2012 | 119 | 2012 |
Fabio RoliProfessor, University of Cagliari, ItalyEmail verificata su diee.unica.it
