PINTOR, MAURA
PINTOR, MAURA
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
Discrete Prompt Optimization Using Genetic Algorithm for Secure Python Code Generation
2026-01-01 Tony, Catherine; Pintor, Maura; Kretschmann, Max; Scandariato, Riccardo
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
\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
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
Position-Aware Stamp-Like Adversarial Attack for Document Classification
2025-01-01 Dong, Qi; Kang, Lei; Pintor, Maura; Karatzas, Dimosthenis
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
Understanding Regression in Continual Learning for Malware Detection
2025-01-01 Ghiani, Daniele; Angioni, Daniele; Sotgiu, Angelo; Pintor, Maura; Biggio, Battista
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
AI Security and Safety: The PRALab Research Experience
2023-01-01 Demontis, Ambra; Pintor, Maura; Demetrio, Luca; Sotgiu, Angelo; Angioni, Daniele; Piras, Giorgio; Gupta, Srishti; Biggio, Battista; Roli, Fabio
Cybersecurity and AI: The PRALab Research Experience
2023-01-01 Pintor, Maura; Orru, Giulia; Maiorca, Davide; Demontis, Ambra; Demetrio, Luca; Marcialis, GIAN LUCA; Biggio, Battista; Roli, Fabio
Detecting Attacks Against Deep Reinforcement Learning for Autonomous Driving
2023-01-01 Pintor, Maura; Demetrio, Luca; Sotgiu, Angelo; Lin, HSIAO-YING; Fang, Chengfang; Demontis, Ambra; 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 | - |
| Discrete Prompt Optimization Using Genetic Algorithm for Secure Python Code Generation | 1-gen-2026 | Tony, Catherine; Pintor, Maura; Kretschmann, Max; Scandariato, Riccardo | THE JOURNAL OF SYSTEMS AND SOFTWARE | - |
| 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 | - |
| \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 |
| 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 |
| Position-Aware Stamp-Like Adversarial Attack for Document Classification | 1-gen-2025 | Dong, Qi; Kang, Lei; Pintor, Maura; Karatzas, Dimosthenis | - | - |
| 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 | - |
| Understanding Regression in Continual Learning for Malware Detection | 1-gen-2025 | Ghiani, Daniele; Angioni, Daniele; Sotgiu, Angelo; Pintor, Maura; Biggio, Battista | - | CEUR-WS |
| 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 | - |
| AI Security and Safety: The PRALab Research Experience | 1-gen-2023 | Demontis, Ambra; Pintor, Maura; Demetrio, Luca; Sotgiu, Angelo; Angioni, Daniele; Piras, Giorgio; Gupta, Srishti; Biggio, Battista; Roli, Fabio | - | CEUR-WS Team, Redaktion Sun SITE |
| Cybersecurity and AI: The PRALab Research Experience | 1-gen-2023 | Pintor, Maura; Orru, Giulia; Maiorca, Davide; Demontis, Ambra; Demetrio, Luca; Marcialis, GIAN LUCA; Biggio, Battista; Roli, Fabio | - | CEUR-WS Team, Redaktion Sun SITE |
| Detecting Attacks Against Deep Reinforcement Learning for Autonomous Driving | 1-gen-2023 | Pintor, Maura; Demetrio, Luca; Sotgiu, Angelo; Lin, HSIAO-YING; Fang, Chengfang; Demontis, Ambra; Biggio, Battista | - | - |