PINTOR, MAURA
PINTOR, MAURA
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
Discrete Prompt Optimization Using Genetic Algorithm for Secure Python Code Generation
2026-01-01 Tony, Catherine; Pintor, Maura; Kretschmann, Max; Scandariato, Riccardo
\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
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
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
ImageNet-Patch: a dataset for benchmarking machine learning robustness against adversarial patches
2023-01-01 Pintor, Maura; Angioni, Daniele; Sotgiu, Angelo; Demetrio, Luca; Demontis, Ambra; Biggio, Battista; Roli, Fabio
Improving Fast Minimum-Norm Attacks with Hyperparameter Optimization
2023-01-01 Floris, Giuseppe; Mura, Raffaele; Scionis, Luca; Piras, Giorgio; Pintor, Maura; Demontis, Ambra; Biggio, Battista
Minimizing Energy Consumption of Deep Learning Models by Energy-Aware Training
2023-01-01 Lazzaro, Dario; Cinà, Antonio Emanuele; Pintor, Maura; Demontis, Ambra; Biggio, Battista; Roli, Fabio; Pelillo, Marcello
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
Samples on Thin Ice: Re-evaluating Adversarial Pruning of Neural Networks
2023-01-01 Piras, Giorgio; Pintor, Maura; Demontis, Ambra; Biggio, Battista
Stateful detection of adversarial reprogramming
2023-01-01 Zheng, Yang; Feng, Xiaoyi; Xia, Zhaoqiang; Jiang, Xiaoyue; Pintor, Maura; Demontis, Ambra; Biggio, Battista; Roli, Fabio
| 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 | - | - |
| 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 | - |
| \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 | - | - |
| 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 | - |
| 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 |
| 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 | - | - |
| ImageNet-Patch: a dataset for benchmarking machine learning robustness against adversarial patches | 1-gen-2023 | Pintor, Maura; Angioni, Daniele; Sotgiu, Angelo; Demetrio, Luca; Demontis, Ambra; Biggio, Battista; Roli, Fabio | PATTERN RECOGNITION | - |
| Improving Fast Minimum-Norm Attacks with Hyperparameter Optimization | 1-gen-2023 | Floris, Giuseppe; Mura, Raffaele; Scionis, Luca; Piras, Giorgio; Pintor, Maura; Demontis, Ambra; Biggio, Battista | - | Ciaco - i6doc.com |
| Minimizing Energy Consumption of Deep Learning Models by Energy-Aware Training | 1-gen-2023 | Lazzaro, Dario; Cinà, Antonio Emanuele; Pintor, Maura; Demontis, Ambra; Biggio, Battista; Roli, Fabio; Pelillo, Marcello | - | - |
| 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 | - | Association for Computing Machinery |
| Samples on Thin Ice: Re-evaluating Adversarial Pruning of Neural Networks | 1-gen-2023 | Piras, Giorgio; Pintor, Maura; Demontis, Ambra; Biggio, Battista | - | - |
| Stateful detection of adversarial reprogramming | 1-gen-2023 | Zheng, Yang; Feng, Xiaoyi; Xia, Zhaoqiang; Jiang, Xiaoyue; Pintor, Maura; Demontis, Ambra; Biggio, Battista; Roli, Fabio | INFORMATION SCIENCES | - |