Publications

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J. Armin, Thompson, B., Kijewski, P., Ariu, D., Giacinto, G., and Roli, F., 2020 Cybercrime Economic Costs: No measure No solution, in First International Workshop on Future Scenarios for Cybercrime and Cyber-terrorism, co-located with the 10th International Conference on Availability, Reliability and Security (ARES), 2015. (526.44 KB)
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C. Di Ruberto and Putzu, L., Accurate blood cells segmentation through intuitionistic fuzzy set threshold, in Proceedings - 10th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2014, 2015, pp. 57 – 64.
M. A. A. Dewan, Granger, E., Marcialis, G. L., Sabourin, R., and Roli, F., Adaptive Appearance Model Tracking for Still-to-Video Face Recognition, Pattern Recognition, vol. 49, no. 1, 2016. (6.51 MB)
A. Rattani, Adaptive Biometric System based on Template Update Procedures, University of Cagliari, Cagliari (Italy), 2010.
F. Roli, Adaptive Biometric Systems, 2011.
F. Roli, Didaci, L., and Marcialis, G. L., Adaptive biometric systems that can improve with use, in Advances in Biometrics: Sensors, Systems and Algorithms, R. ;V. N. Govindaraju Springer, 2008, pp. 447-471.
C. Pagano, Granger, E., Sabourin, R., Marcialis, G. L., and Roli, F., Adaptive Classification for Person Re-Identification Driven by Change Detection, in 3rd Int. Conf. on Pattern Recognition Applications and Methods (ICPRAM 2014), 2014. (316.11 KB)
C. Pagano, Granger, E., Sabourin, R., Marcialis, G. L., and Roli, F., Adaptive Ensembles for Face Recognition in Changing Video Surveillance Environments, Information Sciences, vol. 206, 2014. (3.17 MB)
L. Didaci, Marcialis, G. L., and Roli, F., Adaptive Multibiometric Systems, in Multibiometrics for Human Identification, B. Bhanu and Govindaraju, V. Cambridge University Press, 2011.
A. Rattani, Marcialis, G. L., and Roli, F., Adaptive Multibiometric Systems: Conceptual Representation and Performance Evaluation Over Time, in Handbook on Multibiometrics Systems: Modern Approach to Identity Verification, D. Ranjan Kisku, Gupta, P., and Tistarelli, M. VDM - Lambert Academic Publishing, 2012, pp. 120 -143.
G. Giacinto, Roli, F., and Fumera, G., Adaptive Query Shifting for Content-Based Image Retrieval, in Int. Workshop on Machine Learning and Data Mining in Pattern Recognition (MLDM’01), 2001, vol. 2123, pp. 337-346.
G. Giacinto and Roli, F., Adaptive Selection Of Image Classifiers, in 9th International Conference on Image Analysis and Processing, Florence, Italy, 1997, pp. 38-45.
F. Roli, Marcialis, G. L., and Coli, P., An advanced image processing tool for latent fingerprint analysis and liveness assessment. 2010.
G. Fumera, Advanced Methods for Pattern Recognition with the Reject Option, Cagliari (Italy), 2002.
I. Corona, Giacinto, G., and Roli, F., Adversarial Attacks against Intrusion Detection Systems: Taxonomy, Solutions and Open Issues, Information Sciences, vol. 239, 2013. (1.49 MB)
B. Biggio, Fumera, G., Russu, P., Didaci, L., and Roli, F., Adversarial Biometric Recognition: A Review on Biometric System Security from the Adversarial Machine Learning Perspective, IEEE Signal Processing Magazine, vol. 32, no. 5, pp. 31-41, 2015. (751.08 KB)
D. Maiorca, Demontis, A., Biggio, B., Roli, F., and Giacinto, G., Adversarial Detection of Flash Malware: Limitations and Open Issues, Computers & Security, vol. 96, 2020. (1.08 MB)
L. Demetrio, Coull, S. E., Biggio, B., Lagorio, G., Armando, A., and Roli, F., Adversarial EXEmples: A Survey and Experimental Evaluation of Practical Attacks on Machine Learning for Windows Malware Detection, ACM Trans. Priv. Secur., vol. 24, 2021.
F. Zhang, Chan, P. P. K., Biggio, B., Yeung, D. S., and Roli, F., Adversarial Feature Selection Against Evasion Attacks, IEEE Transactions on Cybernetics, vol. 46, no. 3, pp. 766-777, 2016. (2.12 MB)
H. - Y. Lin and Biggio, B., Adversarial Machine Learning: Attacks From Laboratories to the Real World, Computer, vol. 54, pp. 56-60, 2021.
B. Kolosnjaji, Demontis, A., Biggio, B., Maiorca, D., Giacinto, G., Eckert, C., and Roli, F., Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables, in 2018 26th European Signal Processing Conference (EUSIPCO), Rome, 2018, pp. 533-537. (674.62 KB)
B. Biggio, Adversarial Pattern Classification, University of Cagliari, Cagliari (Italy), 2010. (2.65 MB)
F. Roli, Adversarial Pattern Classification, 2009.
B. Biggio, Fumera, G., and Roli, F., Adversarial Pattern Classification Using Multiple Classifiers and Randomisation, in 12th Joint IAPR International Workshop on Structural and Syntactic Pattern Recognition (SSPR 2008), Orlando, Florida, USA, 2008. (395.38 KB)
R. Perdisci, Giacinto, G., and Roli, F., Alarm clustering for intrusion detection systems in computer networks, Engineering Applications of Artificial Intelligence, vol. 19, pp. 429-438, 2006.

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