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C. Lobrano, Tronci, R., Giacinto, G., and Roli, F., Dynamic Linear Combination of Two-Class Classifiers, in Lecture Notes in Computer Science, 2010, vol. 6218, pp. 473-482.
C. Lobrano, Tronci, R., Giacinto, G., and Roli, F., A Score Decidability Index for Dynamic Score Combination, in Pattern Recognition, International Conference on, Los Alamitos, CA, USA, 2010, pp. 69-72.
H. - Y. Lin and Biggio, B., Adversarial Machine Learning: Attacks From Laboratories to the Real World, Computer, vol. 54, pp. 56-60, 2021.
C. - T. Li and Satta, R., Empirical Investigation into the Correlation between Vignetting Effect and the Quality of Sensor Pattern Noise, IET Computer Vision, vol. 6, no. 6, pp. 560-566, 2012.
C. - T. Li and Satta, R., On the Location-Dependent Quality of the Sensor Pattern Noise and Its Implication in Multimedia Forensics, in 4th International Conference on Imaging for Crime Detection and Prevention (ICDP 2011), London, United Kingdom, 2011. (399.99 KB)
B. Lavi, Fumera, G., and Roli, F., Multi-Stage Ranking Approach for Fast Person Re-Identification, IET Computer Vision, vol. 12, no. 4, p. 7, 2018. (1.07 MB)
R. Labaca-Castro, Biggio, B., and Rodosek, G. Dreo, Poster: Attacking Malware Classifiers by Crafting Gradient-Attacks That Preserve Functionality, in Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, New York, NY, USA, 2019, pp. 2565–2567.