Publications

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2013
L. Didaci, Fumera, G., e Roli, F., «Diversity in classifier ensembles: fertile concept or dead end?», in 11th Int. Workshop on Multiple Classifier Systems, Nanjing, China, 2013, vol 7872. (241.27 KB) (163.54 KB)
L. Piras, Tronci, R., e Giacinto, G., «Diversity in ensembles of codebooks for visual concept detection», in 17th Int. Conference on Image Analysis and Processing (ICIAP), Naples, Italy, 2013. (303.73 KB)
2014
C. Pagano, Granger, E., Sabourin, R., Marcialis, G. L., e Roli, F., «Dynamic weighted fusion of adaptive classifier ensembles based on changing data streams, In: Gayar N.E., Schwenker F., Suen C.Y, , , pp», in 6th IAPR TC3 International Workshop on Artificial Neural Networks for Pattern Recognition (ANNPR 2014), 2014, vol Springer LNAI 8774, pagg 105-116. (1.89 MB)
2015
G. Ennas, Biggio, B., e Di Guardo, M. Chiara, «Data-driven Journal Meta-ranking in Business and Management», Scientometrics, pagg 1-19, 2015. (896.37 KB)
I. Sanchez, Satta, R., Giuliani, R., e Baldini, G., «Detection of DECT identity spoofing through Radio Frequency fingerprinting», in 38th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2015), Opatija, Croatia, 2015. (778.81 KB)
M. Narouei, Ahmadi, M., Giacinto, G., Takabi, H., e Sami, A., «DLLMiner: structural mining for malware detection», Security and Communication Networks, 2015. (731.78 KB)
2016
M. Mauri, Mulas, A., e Ariu, D., «The Dark Side of Open Data», 2nd International Workshop on Knowledge Discovery on the WEB (KDWEB). Cagliari, 2016. (124.62 KB) (1.33 MB)
D. Maiorca, «Design and Implementation of Robust Systems for Secure Malware Detection (Ph.D. Thesis)», University of Cagliari, Italy, Cagliari, 2016. (5.34 MB)
M. Ahmadi, Biggio, B., Arzt, S., Ariu, D., e Giacinto, G., «Detecting Misuse of Google Cloud Messaging in Android Badware», in 6th Workshop on Security and Privacy in Smartphones and Mobile Devices (SPSM), Vienna, Austria, 2016, pagg 103-112. (626.38 KB)
S. Kumar Dash, Suarez-Tangil, G., Khan, S., Tam, K., Ahmadi, M., Kinder, J., e Cavallaro, L., «DroidScribe: Classifying Android Malware Based on Runtime Behavior», in Mobile Security Technologies (MoST 2016), 2016. (571.22 KB)
2017
M. Melis, Demontis, A., Biggio, B., Brown, G., Fumera, G., e Roli, F., «Is Deep Learning Safe for Robot Vision? Adversarial Examples against the iCub Humanoid», in ICCV 2017 Workshop on Vision in Practice on Autonomous Robots (ViPAR), Venice, Italy, 2017, vol 2017 IEEE International Conference on Computer Vision Workshops (ICCVW), pagg 751-759. (3.16 MB)
P. Piredda, Ariu, D., Biggio, B., Corona, I., Piras, L., Giacinto, G., e Roli, F., «Deepsquatting: Learning-based Typosquatting Detection at Deeper Domain Levels», in 16th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2017), 2017, vol 10640 of LNCS, pagg 347-358. (1.21 MB)
I. Corona, Biggio, B., Contini, M., Piras, L., Corda, R., Mereu, M., Mureddu, G., Ariu, D., e Roli, F., «DeltaPhish: Detecting Phishing Webpages in Compromised Websites», 22nd European Symposium on Research in Computer Security (ESORICS), vol 10492. Springer International Publishing, Norway, September 11-15, 2017, pagg 370–388, 2017. (4.13 MB)
I. Pillai, Fumera, G., e Roli, F., «Designing multi-label classifiers that maximize F measures: state of the art», Pattern Recognition, vol 61, 2017. (452.28 KB)
D. Maiorca, Russu, P., Corona, I., Biggio, B., e Giacinto, G., «Detection of Malicious Scripting Code through Discriminant and Adversary-Aware API Analysis», in 1st Italian Conference on CyberSecurity (ITASEC), 2017, vol 1816, pagg 96-105. (371.53 KB)
2019
A. Carcangiu, Spano, L. Davide, Fumera, G., e Roli, F., «DEICTIC: a Compositional and Declarative Gesture Description based on Hidden Markov Model», International Journal of Human-Computer Studies, vol 122, pag 20, 2019. (1.69 MB)
F. Crecchi, Bacciu, D., e Biggio, B., «Detecting Adversarial Examples through Nonlinear Dimensionality Reduction», in 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning - ESANN '19, 2019, pagg 483-488. (552.39 KB)
D. Maiorca e Biggio, B., «Digital Investigation of PDF Files: Unveiling Traces of Embedded Malware», IEEE Security and Privacy: Special Issue on Digital Forensics, vol 17, n° 1, pagg 63-71, 2019. (838.95 KB)
In Press
W. W. Y. Ng, Hu, J., Yeung, D., Yin, S., e Roli, F., «Diversified Sensitivity based Undersampling for Imbalance Classification Problems», IEEE Transactions on Cybernetics, In Press. (1.91 MB)
G. Suarez-Tangil, Dash, S. Kumar, Ahmadi, M., Kinder, J., Giacinto, G., e Cavallaro, L., «DroidSieve: Fast and Accurate Classification of Obfuscated Android Malware», in Proceedings of the Seventh {ACM} Conference on Data and Application Security and Privacy, {CODASPY} 2017, In Press. (478.59 KB)

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