BIGGIO, BATTISTA
BIGGIO, BATTISTA
100023 - Dipartimento di Informatica, bioingegneria, robotica e ingegneria dei sistemi
Deepsquatting: Learning-based typosquatting detection at deeper domain levels
2017-01-01 Piredda, Paolo; Ariu, Davide; Biggio, Battista; Corona, Igino; Piras, Luca; Giacinto, Giorgio; Roli, Fabio
Explaining Machine Learning DGA Detectors from DNS Traffic Data
2022-01-01 Piras, G.; Pintor, M.; Demetrio, L.; Biggio, B.
Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples
2022-01-01 Pintor, M.; Demetrio, L.; Sotgiu, A.; Demontis, A.; Carlini, N.; Biggio, B.; Roli, F.
Raze to the Ground: Query-Efficient Adversarial HTML Attacks on Machine-Learning Phishing Webpage Detectors
2023-01-01 Montaruli, Biagio; Demetrio, Luca; Pintor, Maura; Compagna, Luca; Balzarotti, Davide; Biggio, Battista
Robust Machine Learning for Malware Detection over Time
2022-01-01 Angioni, D.; Demetrio, L.; Pintor, M.; Biggio, B.
Slope: A First-order Approach for Measuring Gradient Obfuscation
2021-01-01 Pintor, M.; Demetrio, L.; Manca, G.; Biggio, B.; Roli, F.
Societal issues in machine learning: When learning from data is not enough
2019-01-01 Bacciu, D.; Biggio, B.; Lisboa, P. J. G.; Martin, J. D.; Oneto, L.; Vellido, A.
Super-Sparse regression for fast age estimation from faces at test time
2015-01-01 Demontis, Ambra; Biggio, Battista; Fumera, Giorgio; Roli, Fabio
Towards poisoning of deep learning algorithms with back-gradient optimization
2017-01-01 Muñoz-González, Luis; Biggio, Battista; Demontis, Ambra; Paudice, Andrea; Wongrassamee, Vasin; Lupu, Emil C.; Roli, Fabio
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Deepsquatting: Learning-based typosquatting detection at deeper domain levels | 1-gen-2017 | Piredda, Paolo; Ariu, Davide; Biggio, Battista; Corona, Igino; Piras, Luca; Giacinto, Giorgio; Roli, Fabio | |
| Explaining Machine Learning DGA Detectors from DNS Traffic Data | 1-gen-2022 | Piras, G.; Pintor, M.; Demetrio, L.; Biggio, B. | |
| Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples | 1-gen-2022 | Pintor, M.; Demetrio, L.; Sotgiu, A.; Demontis, A.; Carlini, N.; Biggio, B.; Roli, F. | |
| Raze to the Ground: Query-Efficient Adversarial HTML Attacks on Machine-Learning Phishing Webpage Detectors | 1-gen-2023 | Montaruli, Biagio; Demetrio, Luca; Pintor, Maura; Compagna, Luca; Balzarotti, Davide; Biggio, Battista | |
| Robust Machine Learning for Malware Detection over Time | 1-gen-2022 | Angioni, D.; Demetrio, L.; Pintor, M.; Biggio, B. | |
| Slope: A First-order Approach for Measuring Gradient Obfuscation | 1-gen-2021 | Pintor, M.; Demetrio, L.; Manca, G.; Biggio, B.; Roli, F. | |
| Societal issues in machine learning: When learning from data is not enough | 1-gen-2019 | Bacciu, D.; Biggio, B.; Lisboa, P. J. G.; Martin, J. D.; Oneto, L.; Vellido, A. | |
| Super-Sparse regression for fast age estimation from faces at test time | 1-gen-2015 | Demontis, Ambra; Biggio, Battista; Fumera, Giorgio; Roli, Fabio | |
| Towards poisoning of deep learning algorithms with back-gradient optimization | 1-gen-2017 | Muñoz-González, Luis; Biggio, Battista; Demontis, Ambra; Paudice, Andrea; Wongrassamee, Vasin; Lupu, Emil C.; Roli, Fabio |