BIGGIO, BATTISTA
BIGGIO, BATTISTA
100023 - Dipartimento di Informatica, bioingegneria, robotica e ingegneria dei sistemi
$\sigma$-zero: Gradient-based Optimization of $\ell_0$-norm Adversarial Examples
2025-01-01 Cinà, Antonio Emanuele; Villani, Francesco; Pintor, Maura; Schönherr, Lea; Biggio, Battista; Pelillo, Marcello
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples
2025-01-01 Cinà, Antonio Emanuele; Rony, Jérôme; Pintor, Maura; Demetrio, Luca; Demontis, Ambra; Biggio, Battista; Ayed, Ismail Ben; Roli, Fabio
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
Demystifying the Role of Rule-Based Detection in AI Systems for Windows Malware Detection
2025-01-01 Ponte, Andrea; Demetrio, Luca; Oneto, Luca; Ogbu, Ivan Tesfai; Biggio, Battista; Roli, Fabio
Explaining Machine Learning DGA Detectors from DNS Traffic Data
2022-01-01 Piras, G.; Pintor, M.; Demetrio, L.; Biggio, B.
Hardening RGB-D object recognition systems against adversarial patch attacks
2023-01-01 Zheng, Yang; Demetrio, Luca; Emanuele Cinà, Antonio; Feng, Xiaoyi; Xia, Zhaoqiang; Jiang, Xiaoyue; Demontis, Ambra; Biggio, Battista; Roli, Fabio
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.
ModSec-Learn: Boosting ModSecurity with Machine Learning
2025-01-01 Scano, Christian; Floris, Giuseppe; Montaruli, Biagio; Demetrio, Luca; Valenza, Andrea; Compagna, Luca; Ariu, Davide; Piras, Luca; Balzarotti, Davide; Biggio, Battista
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.
Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates
2025-01-01 Angioni, D.; Demetrio, L.; Pintor, M.; Oneto, L.; Anguita, D.; Biggio, B.; Roli, F.
secml: Secure and explainable machine learning in Python
2022-01-01 Pintor, M.; Demetrio, L.; Sotgiu, A.; Melis, M.; Demontis, A.; 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
The Hammer and the Nut: Is Bilevel Optimization Really Needed to Poison Linear Classifiers?
2021-01-01 Cina, A. E.; Vascon, S.; Demontis, A.; Biggio, B.; Roli, F.; Pelillo, M.
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
Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning
2022-01-01 Cina', ANTONIO EMANUELE; Grosse, Kathrin; Demontis, Ambra; Vascon, Sebastiano; Zellinger, Werner; Alois Moser, Bernhard; Oprea, Alina; Biggio, Battista; Pelillo, Marcello; Roli, Fabio
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| $\sigma$-zero: Gradient-based Optimization of $\ell_0$-norm Adversarial Examples | 1-gen-2025 | Cinà, Antonio Emanuele; Villani, Francesco; Pintor, Maura; Schönherr, Lea; Biggio, Battista; Pelillo, Marcello | |
| AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples | 1-gen-2025 | Cinà, Antonio Emanuele; Rony, Jérôme; Pintor, Maura; Demetrio, Luca; Demontis, Ambra; Biggio, Battista; Ayed, Ismail Ben; Roli, Fabio | |
| 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 | |
| Demystifying the Role of Rule-Based Detection in AI Systems for Windows Malware Detection | 1-gen-2025 | Ponte, Andrea; Demetrio, Luca; Oneto, Luca; Ogbu, Ivan Tesfai; Biggio, Battista; Roli, Fabio | |
| Explaining Machine Learning DGA Detectors from DNS Traffic Data | 1-gen-2022 | Piras, G.; Pintor, M.; Demetrio, L.; Biggio, B. | |
| Hardening RGB-D object recognition systems against adversarial patch attacks | 1-gen-2023 | Zheng, Yang; Demetrio, Luca; Emanuele Cinà, Antonio; Feng, Xiaoyi; Xia, Zhaoqiang; Jiang, Xiaoyue; Demontis, Ambra; Biggio, Battista; Roli, Fabio | |
| 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. | |
| ModSec-Learn: Boosting ModSecurity with Machine Learning | 1-gen-2025 | Scano, Christian; Floris, Giuseppe; Montaruli, Biagio; Demetrio, Luca; Valenza, Andrea; Compagna, Luca; Ariu, Davide; Piras, Luca; Balzarotti, Davide; Biggio, Battista | |
| 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. | |
| Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates | 1-gen-2025 | Angioni, D.; Demetrio, L.; Pintor, M.; Oneto, L.; Anguita, D.; Biggio, B.; Roli, F. | |
| secml: Secure and explainable machine learning in Python | 1-gen-2022 | Pintor, M.; Demetrio, L.; Sotgiu, A.; Melis, M.; Demontis, A.; 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 | |
| The Hammer and the Nut: Is Bilevel Optimization Really Needed to Poison Linear Classifiers? | 1-gen-2021 | Cina, A. E.; Vascon, S.; Demontis, A.; Biggio, B.; Roli, F.; Pelillo, M. | |
| 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 | |
| Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning | 1-gen-2022 | Cina', ANTONIO EMANUELE; Grosse, Kathrin; Demontis, Ambra; Vascon, Sebastiano; Zellinger, Werner; Alois Moser, Bernhard; Oprea, Alina; Biggio, Battista; Pelillo, Marcello; Roli, Fabio |