Roli, Fabio

Evasion Attacks against Machine Learning at Test Time

Biggio, B., Corona, I., Maiorca, D., Nelson, B., Šrndić, N., Laskov, P., Giacinto, G., & Roli, F. (2013) · Lecture Notes in Computer Science

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 890

Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization

Muñoz-González, L., Biggio, B., Demontis, A., Paudice, A., Wongrassamee, V., Lupu, E. C., & Roli, F. (2017) · Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 549

Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning

Cinà, A. E., Grosse, K., Demontis, A., Vascon, S., Zellinger, W., Moser, B. A., Oprea, A., Biggio, B., Pelillo, M., & Roli, F. (2023) · ACM Computing Surveys

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 152

On Reducing the Effect of Covariate Factors in Gait Recognition: A Classifier Ensemble Method

Guan, Y., Li, C.-T., & Roli, F. (2015) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Gait Recognition and AnalysisBiometric Identification and Security

Cited by 128

One-and-a-Half-Class Multiple Classifier Systems for Secure Learning Against Evasion Attacks at Test Time

Biggio, B., Corona, I., He, Z.-M., Chan, P. P. K., Giacinto, G., Yeung, D. S., & Roli, F. (2015) · Lecture Notes in Computer Science

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 47