Publications

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Filters: First Letter Of Title is P and Author is Battista Biggio  [Clear All Filters]
Conference Paper
F. Roli, Biggio, B., and Fumera, G., Pattern Recognition Systems Under Attack, in Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, Proc. of the 18th Iberoamerican Congress on Pattern Recognition (CIARP 2013), LNCS, Havana, Cuba, 2013, vol. 8258, pp. 1-8. (314.35 KB)
B. Biggio, Fumera, G., Roli, F., and Didaci, L., Poisoning adaptive biometric systems, in 9th Int'l Workshop on Statistical Techniques in Pattern Recognition (SPR 2012), 2012, vol. 7626, pp. 417-425. (637.79 KB)
B. Biggio, Nelson, B., and Laskov, P., Poisoning attacks against support vector machines, in 29th Int'l Conf. on Machine Learning (ICML), 2012, pp. 1807–1814. (452.94 KB)
D. Solans, Biggio, B., and Castillo, C., Poisoning Attacks on Algorithmic Fairness, in Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020), 2021, p. 162--177. (1.05 MB)
M. Kravchik, Biggio, B., and Shabtai, A., Poisoning Attacks on Cyber Attack Detectors for Industrial Control Systems, in Proceedings of the 36th Annual ACM Symposium on Applied Computing, New York, NY, USA, 2021, pp. 116–125.
B. Biggio, Didaci, L., Fumera, G., and Roli, F., Poisoning attacks to compromise face templates, in 6th IAPR Int'l Conf. on Biometrics (ICB), Madrid, Spain, 2013. (844.61 KB)
B. Biggio, Rieck, K., Ariu, D., Wressnegger, C., Corona, I., Giacinto, G., and Roli, F., Poisoning Behavioral Malware Clustering, in AISec'14: Proceedings of the 2014 ACM Workshop on Artificial Intelligence and Security, co-located with CCS '14, Scottsdale, Arizona, USA, 2014, pp. 27-36. (375.58 KB)
B. Biggio, Rota Bulò, S., Pillai, I., Mura, M., Zemene Mequanint, E., Pelillo, M., and Roli, F., Poisoning complete-linkage hierarchical clustering, in Joint IAPR Int'l Workshop on Structural, Syntactic, and Statistical Pattern Recognition (LNCS), Joensuu, Finland, 2014, vol. 8621, pp. 42-52. (388.31 KB)
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.
Journal Article
B. Biggio, Fumera, G., and Roli, F., Pattern Recognition Systems under Attack: Design Issues and Research Challenges, Int'l J. Patt. Recogn. Artif. Intell., vol. 28, no. 7, p. 1460002, 2014. (1.41 MB)