G. Giacinto e Roli, F.,
«Dissimilarity Representation of Images for Relevance Feedback in Content-Based Image Retrieval», in
Machine Learning and Data Mining in Pattern Recognition (MLDM 2003), Leipzig, Germany, 2003, vol 2734, pagg 202-214.
G. L. Foresti, Giacinto, G., e Roli, F.,
«Detecting Dangerous Behaviours of Mobile Objects in Parking Areas», in
2nd European Workshop on Advanced Video-based Surveillance Systems (AVBS2001), London, United Kingdom, 2001.
G. L. Foresti, Giacinto, G., e Roli, F.,
«Detecting Dangerous Behaviors of Mobile Objects in Parking Areas», in
Multisensor Surveillance Systems: The Fusion Perspective,
R. G. L. C. Foresti e Varshney, P. Kluwer Academic Publishers, 2003, pagg 199-211.
B. Biggio, Fumera, G., e Roli, F.,
«Design of Robust Classifiers for Adversarial Environments», in
IEEE International Conference on Systems, Man, and Cybernetics (SMC 2011), Anchorage, Alaska, USA, 2011, pagg 977–982.
(328.68 KB) F. Roli e Giacinto, G.,
«Design of Multiple Classifier Systems», in
Hybrid Methods in Pattern Recognition,
B. ;A. H. Kandel World Scientific Publishing, 2002.
G. Giacinto, Roli, F., e Fumera, G.,
«Design of effective multiple classifier systems by clustering of classifiers», in
15th Int. Conference on Pattern Recognition (ICPR 2000), Barcelona, Spain, 2000, vol 2, pagg 160-163.
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) 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) 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) B. Biggio, Pillai, I., Rota Bulò, S., Ariu, D., Pelillo, M., e Roli, F.,
«Is Data Clustering in Adversarial Settings Secure?», in
AISec'13: Proceedings of the 2013 ACM Workshop on Artificial Intelligence and Security, Berlin, 2013, pagg 87-98.
(300.52 KB)