BIGGIO, BATTISTA
BIGGIO, BATTISTA
DIPARTIMENTO DI INGEGNERIA ELETTRICA ED ELETTRONICA
Buffer-free class-incremental learning with out-of-distribution detection
2026-01-01 Gupta, Srishti; Angioni, Daniele; Pintor, Maura; Demontis, Ambra; Schönherr, Lea; Roli, Fabio; Biggio, Battista
Evaluating line-level localization ability of learning-based code vulnerability detection models
2026-01-01 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
Poison once, fool many: practical poisoning attacks against text-to-image retrieval systems
2026-01-01 Lazzaro, Dario; Mura, Raffaele; Ciná, Antonio Emanuele; Laurita, Giuseppe; Vercelli, Gianni; Oneto, Luca; Biggio, Battista; Roli, Fabio
SOM directions are better than one: multi-directional refusal suppression in language models
2026-01-01 Piras, Giorgio; Mura, Raffaele; Brau, Fabio; Oneto, Luca; Roli, Fabio; Biggio, Battista
Sonic: Fast and transferable data poisoning on clustering algorithms
2026-01-01 Villani, Francesco; Lazzaro, Dario; Emanuele Cinà, Antonio; Dell'Amico, Matteo; 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
A comparative analysis of active learning strategies for Android malware detection
2025-01-01 Manca, Cristian; Minnei, Luca; Pintor, Maura; Brau, Fabio; Biggio, Battista
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
CoEvolution: a comprehensive trustworthy framework for connected machine learning and secure interconnected AI solutions
2025-01-01 Makris, Antonios; Fournaris, Apostolos; Aghaie, Anita; Arakas, Ioannis; Anaxagorou, Anna Maria; Arapakis, Ioannis; Bacciu, Davide; Biggio, Battista; Bouloukakis, Georgios; Bouras, Stavros; Bröring, Arne; Carta, Antonio; Caselli, Marco; Giannakopoulou, Olympia; Gkatzios, Nikolaos; Gkillas, Alexandros; Haleplidis, Evangelos; Ioannidis, Sotiris; Kalogeraki, Eleni-Maria; Karantzias, Panagiotis; Kritharakis, Emmanouil; Lalos, Aris; Lenk, David; Markopoulou, Stella; Metai, Entrit; Miaoudakis, Andreas; Mouratidis, Haralambos; Najar, Jihane; Panagiotakopoulos, Theodor; Peischl, Bernhard; Pintor, Maura; Piperigkos, Nikos; Prevelakis, Vassilis; Segura, Carlos; Spanoudakis, Georgios; Tsirakis, Orestis; Veledar, Omar; Tserpes, Konstantinos
Data drift in Android malware detection
2025-01-01 Minnei, Luca; Eddoubi, Hicham; Sotgiu, Angelo; Pintor, Maura; Demontis, Ambra; Biggio, Battista
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
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
Less is more? An ablation study on AutoAttack for adversarial robustness evaluation
2025-01-01 Melis, Luca; Scionis, Luca; Brau, Fabio; Pintor, Maura; Biggio, Battista
LFPD: Local-Feature-Powered Defense against adaptive backdoor attacks
2025-01-01 Guo, Wei; Demontis, Ambra; Pintor, Maura; Chan, Patrick P. K.; Biggio, Battista
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
| Titolo | Data di pubblicazione | Autore(i) | Rivista | Editore |
|---|---|---|---|---|
| Buffer-free class-incremental learning with out-of-distribution detection | 1-gen-2026 | Gupta, Srishti; Angioni, Daniele; Pintor, Maura; Demontis, Ambra; Schönherr, Lea; Roli, Fabio; Biggio, Battista | PATTERN RECOGNITION | - |
| Evaluating line-level localization ability of learning-based code vulnerability detection models | 1-gen-2026 | Pintore, Marco; Piras, Giorgio; Sotgiu, Angelo; Pintor, Maura; Biggio, Battista | MACHINE LEARNING | - |
| 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 | - |
| Poison once, fool many: practical poisoning attacks against text-to-image retrieval systems | 1-gen-2026 | Lazzaro, Dario; Mura, Raffaele; Ciná, Antonio Emanuele; Laurita, Giuseppe; Vercelli, Gianni; Oneto, Luca; Biggio, Battista; Roli, Fabio | KNOWLEDGE-BASED SYSTEMS | - |
| SOM directions are better than one: multi-directional refusal suppression in language models | 1-gen-2026 | Piras, Giorgio; Mura, Raffaele; Brau, Fabio; Oneto, Luca; Roli, Fabio; Biggio, Battista | - | - |
| Sonic: Fast and transferable data poisoning on clustering algorithms | 1-gen-2026 | Villani, Francesco; Lazzaro, Dario; Emanuele Cinà, Antonio; Dell'Amico, Matteo; Biggio, Battista; Roli, Fabio | INFORMATION SCIENCES | - |
| \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 | - | - |
| A comparative analysis of active learning strategies for Android malware detection | 1-gen-2025 | Manca, Cristian; Minnei, Luca; Pintor, Maura; Brau, Fabio; Biggio, Battista | - | IEEE |
| 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 | - | - |
| CoEvolution: a comprehensive trustworthy framework for connected machine learning and secure interconnected AI solutions | 1-gen-2025 | Makris, Antonios; Fournaris, Apostolos; Aghaie, Anita; Arakas, Ioannis; Anaxagorou, Anna Maria; Arapakis, Ioannis; Bacciu, Davide; Biggio, Battista; Bouloukakis, Georgios; Bouras, Stavros; Bröring, Arne; Carta, Antonio; Caselli, Marco; Giannakopoulou, Olympia; Gkatzios, Nikolaos; Gkillas, Alexandros; Haleplidis, Evangelos; Ioannidis, Sotiris; Kalogeraki, Eleni-Maria; Karantzias, Panagiotis; Kritharakis, Emmanouil; Lalos, Aris; Lenk, David; Markopoulou, Stella; Metai, Entrit; Miaoudakis, Andreas; Mouratidis, Haralambos; Najar, Jihane; Panagiotakopoulos, Theodor; Peischl, Bernhard; Pintor, Maura; Piperigkos, Nikos; Prevelakis, Vassilis; Segura, Carlos; Spanoudakis, Georgios; Tsirakis, Orestis; Veledar, Omar; Tserpes, Konstantinos | - | Institute of Electrical and Electronics Engineers Inc. |
| Data drift in Android malware detection | 1-gen-2025 | Minnei, Luca; Eddoubi, Hicham; Sotgiu, Angelo; Pintor, Maura; Demontis, Ambra; Biggio, Battista | - | IEEE Computer Society |
| 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 | - | Institute of Electrical and Electronics Engineers Inc. |
| 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 | - |
| Less is more? An ablation study on AutoAttack for adversarial robustness evaluation | 1-gen-2025 | Melis, Luca; Scionis, Luca; Brau, Fabio; Pintor, Maura; Biggio, Battista | - | IEEE |
| LFPD: Local-Feature-Powered Defense against adaptive backdoor attacks | 1-gen-2025 | Guo, Wei; Demontis, Ambra; Pintor, Maura; Chan, Patrick P. K.; Biggio, Battista | - | IEEE Computer Society |
| 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 | - |