BIGGIO, BATTISTA
BIGGIO, BATTISTA
DIPARTIMENTO DI INGEGNERIA ELETTRICA ED ELETTRONICA
Evaluating Line-level Localization Ability of Learning-based Code Vulnerability Detection Models
In corso di stampa Pintore, Marco; Piras, Giorgio; Sotgiu, Angelo; Pintor, Maura; Biggio, Battista
On the robustness of adversarial training against uncertainty attacks
2026-01-01 Ledda, Emanuele; Scodeller, Giovanni; Angioni, Daniele; Piras, Giorgio; Cinà, Antonio Emanuele; Fumera, Giorgio; Biggio, Battista; Roli, Fabio
\textbackslash sigma-zero: Gradient-based Optimization of \textbackslash ell\_0-norm Adversarial Examples
2025-01-01 Cinà, Antonio Emanuele; Villani, Francesco; Pintor, Maura; Schönherr, Lea; Biggio, Battista; Pelillo, Marcello
Adversarial pruning: A survey and benchmark of pruning methods for adversarial robustness
2025-01-01 Piras, Giorgio; Pintor, Maura; Demontis, Ambra; Biggio, Battista; Giacinto, Giorgio; Roli, Fabio
An Experimental Analysis of Semi-supervised Learning for Malware Detection
2025-01-01 Minnei, Luca; Piras, Giorgio; Sotgiu, Angelo; Pintor, Maura; Demontis, Ambra; Maiorca, Davide; Biggio, Battista
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
Energy-latency attacks via sponge poisoning
2025-01-01 Cinà, Antonio Emanuele; Demontis, Ambra; Biggio, Battista; Roli, Fabio; Pelillo, Marcello
Exploiting edge features for transferable adversarial attacks in distributed machine learning
2025-01-01 Rossolini, G.; Brau, F.; Biondi, A.; Biggio, B.; Buttazzo, G.
HO-FMN: Hyperparameter optimization for fast minimum-norm attacks
2025-01-01 Mura, Raffaele; Floris, Giuseppe; Scionis, Luca; Piras, Giorgio; Pintor, Maura; Demontis, Ambra; Giacinto, Giorgio; Biggio, Battista; Roli, Fabio
ModSec-AdvLearn: countering adversarial SQL injections with robust machine learning
2025-01-01 Floris, Giuseppe; Scano, Christian; Montaruli, Biagio; Demetrio, Luca; Valenza, Andrea; Compagna, Luca; Ariu, Davide; Piras, Luca; Balzarotti, Davide; Biggio, Battista
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
Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates
2025-01-01 Angioni, Daniele; Demetrio, Luca; Pintor, Maura; Oneto, Luca; Anguita, Davide; Biggio, Battista; Roli, Fabio
SLIFER: Investigating performance and robustness of malware detection pipelines
2025-01-01 Ponte, Andrea; Trizna, Dmitrijs; Demetrio, Luca; Biggio, Battista; Ogbu, Ivan Tesfai; Roli, Fabio
Understanding Regression in Continual Learning for Malware Detection
2025-01-01 Ghiani, Daniele; Angioni, Daniele; Sotgiu, Angelo; Pintor, Maura; Biggio, Battista
Backdoor Learning Curves: Explaining Backdoor Poisoning Beyond Influence Functions
2024-01-01 Cinà, A. E.; Grosse, K.; Vascon, S.; Demontis, A.; Biggio, B.; Roli, F.; Pelillo, M.
Machine learning in computer security is difficult to fix
2024-01-01 Biggio, Battista
Machine Learning Security Against Data Poisoning: Are We There Yet?
2024-01-01 Cinà, Antonio Emanuele; Grosse, Kathrin; Demontis, Ambra; Biggio, Battista; Roli, Fabio; Pelillo, Marcello
Nebula: Self-Attention for Dynamic Malware Analysis
2024-01-01 Trizna, Dmitrijs; Demetrio, Luca; Biggio, Battista; Roli, Fabio
Rethinking data augmentation for adversarial robustness
2024-01-01 Eghbal-zadeh, Hamid; Zellinger, Werner; Pintor, Maura; Grosse, Kathrin; Koutini, Khaled; Moser, Bernhard A.; Biggio, Battista; Widmer, Gerhard
Toward Effective Traffic Sign Detection via Two-Stage Fusion Neural Networks
2024-01-01 Li, Zhishan; Chen, Hongxu; Biggio, Battista; He, Yifan; Cai, Haoran; Roli, Fabio; Xie, Lei
| Titolo | Data di pubblicazione | Autore(i) | Rivista | Editore |
|---|---|---|---|---|
| Evaluating Line-level Localization Ability of Learning-based Code Vulnerability Detection Models | In corso di stampa | Pintore, Marco; Piras, Giorgio; Sotgiu, Angelo; Pintor, Maura; Biggio, Battista | - | - |
| On the robustness of adversarial training against uncertainty attacks | 1-gen-2026 | Ledda, Emanuele; Scodeller, Giovanni; Angioni, Daniele; Piras, Giorgio; Cinà, Antonio Emanuele; Fumera, Giorgio; Biggio, Battista; Roli, Fabio | PATTERN RECOGNITION | - |
| \textbackslash sigma-zero: Gradient-based Optimization of \textbackslash ell\_0-norm Adversarial Examples | 1-gen-2025 | Cinà, Antonio Emanuele; Villani, Francesco; Pintor, Maura; Schönherr, Lea; Biggio, Battista; Pelillo, Marcello | - | - |
| Adversarial pruning: A survey and benchmark of pruning methods for adversarial robustness | 1-gen-2025 | Piras, Giorgio; Pintor, Maura; Demontis, Ambra; Biggio, Battista; Giacinto, Giorgio; Roli, Fabio | PATTERN RECOGNITION | - |
| An Experimental Analysis of Semi-supervised Learning for Malware Detection | 1-gen-2025 | Minnei, Luca; Piras, Giorgio; Sotgiu, Angelo; Pintor, Maura; Demontis, Ambra; Maiorca, Davide; Biggio, Battista | - | - |
| 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 | - | - |
| Energy-latency attacks via sponge poisoning | 1-gen-2025 | Cinà, Antonio Emanuele; Demontis, Ambra; Biggio, Battista; Roli, Fabio; Pelillo, Marcello | INFORMATION SCIENCES | - |
| Exploiting edge features for transferable adversarial attacks in distributed machine learning | 1-gen-2025 | Rossolini, G.; Brau, F.; Biondi, A.; Biggio, B.; Buttazzo, G. | INTERNET OF THINGS | - |
| HO-FMN: Hyperparameter optimization for fast minimum-norm attacks | 1-gen-2025 | Mura, Raffaele; Floris, Giuseppe; Scionis, Luca; Piras, Giorgio; Pintor, Maura; Demontis, Ambra; Giacinto, Giorgio; Biggio, Battista; Roli, Fabio | NEUROCOMPUTING | - |
| ModSec-AdvLearn: countering adversarial SQL injections with robust machine learning | 1-gen-2025 | Floris, Giuseppe; Scano, Christian; Montaruli, Biagio; Demetrio, Luca; Valenza, Andrea; Compagna, Luca; Ariu, Davide; Piras, Luca; Balzarotti, Davide; Biggio, Battista | IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY | - |
| 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 | - | Springer, Cham |
| Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates | 1-gen-2025 | Angioni, Daniele; Demetrio, Luca; Pintor, Maura; Oneto, Luca; Anguita, Davide; Biggio, Battista; Roli, Fabio | IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | - |
| SLIFER: Investigating performance and robustness of malware detection pipelines | 1-gen-2025 | Ponte, Andrea; Trizna, Dmitrijs; Demetrio, Luca; Biggio, Battista; Ogbu, Ivan Tesfai; Roli, Fabio | COMPUTERS & SECURITY | - |
| Understanding Regression in Continual Learning for Malware Detection | 1-gen-2025 | Ghiani, Daniele; Angioni, Daniele; Sotgiu, Angelo; Pintor, Maura; Biggio, Battista | - | CEUR |
| Backdoor Learning Curves: Explaining Backdoor Poisoning Beyond Influence Functions | 1-gen-2024 | Cinà, A. E.; Grosse, K.; Vascon, S.; Demontis, A.; Biggio, B.; Roli, F.; Pelillo, M. | INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS | - |
| Machine learning in computer security is difficult to fix | 1-gen-2024 | Biggio, Battista | COMMUNICATIONS OF THE ACM | - |
| Machine Learning Security Against Data Poisoning: Are We There Yet? | 1-gen-2024 | Cinà, Antonio Emanuele; Grosse, Kathrin; Demontis, Ambra; Biggio, Battista; Roli, Fabio; Pelillo, Marcello | COMPUTER | - |
| Nebula: Self-Attention for Dynamic Malware Analysis | 1-gen-2024 | Trizna, Dmitrijs; Demetrio, Luca; Biggio, Battista; Roli, Fabio | IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY | - |
| Rethinking data augmentation for adversarial robustness | 1-gen-2024 | Eghbal-zadeh, Hamid; Zellinger, Werner; Pintor, Maura; Grosse, Kathrin; Koutini, Khaled; Moser, Bernhard A.; Biggio, Battista; Widmer, Gerhard | INFORMATION SCIENCES | - |
| Toward Effective Traffic Sign Detection via Two-Stage Fusion Neural Networks | 1-gen-2024 | Li, Zhishan; Chen, Hongxu; Biggio, Battista; He, Yifan; Cai, Haoran; Roli, Fabio; Xie, Lei | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS | - |