Università degli Studi di Cagliari
Maura Pintor
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
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
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
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
Why adversarial reprogramming works, when it fails, and how to tell the difference
2023-01-01 Zheng, Yang; Feng, Xiaoyi; Xia, Zhaoqiang; Jiang, Xiaoyue; Demontis, Ambra; Pintor, Maura; Biggio, Battista; Roli, Fabio
Samples on Thin Ice: Re-evaluating Adversarial Pruning of Neural Networks
2023-01-01 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
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
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
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
The Threat of Offensive AI to Organizations
2023-01-01 Mirsky, Y.; Demontis, A.; Kotak, J.; Shankar, R.; Gelei, D.; Yang, L.; Zhang, X.; Pintor, M.; Lee, W.; Elovici, Y.; Biggio, B.
Stateful detection of adversarial reprogramming
2023-01-01 Zheng, Yang; Feng, Xiaoyi; Xia, Zhaoqiang; Jiang, Xiaoyue; Pintor, Maura; Demontis, Ambra; Biggio, Battista; Roli, Fabio
Towards Debugging and Improving Adversarial Robustness Evaluations
2022-02-17
Explaining Machine Learning DGA Detectors from DNS Traffic Data
2022-01-01 Piras, Giorgio; Pintor, Maura; Demetrio, Luca; Biggio, Battista
Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples
2022-01-01 Pintor, Maura; Demetrio, Luca; Sotgiu, Angelo; Demontis, Ambra; Carlini, Nicholas; Biggio, Battista; Roli, Fabio
Robust Machine Learning for Malware Detection over Time
2022-01-01 Angioni, Daniele; Demetrio, Luca; Pintor, Maura; Biggio, Battista
Explainability-based Debugging of Machine Learning for Vulnerability Discovery
2022-01-01 Sotgiu, Angelo; Pintor, Maura; Biggio, Battista
secml: Secure and explainable machine learning in Python
2022-01-01 Pintor, Maura; Demetrio, Luca; Sotgiu, Angelo; Melis, Marco; Demontis, Ambra; Biggio, Battista
Detecting Anomalies from Video-Sequences: a Novel Descriptor
2021-01-01 Orru', G.; Ghiani, D.; Pintor, M.; Marcialis, G. L.; Roli, F.
Slope: A First-order Approach for Measuring Gradient Obfuscation
2021-01-01 Pintor, M.; Demetrio, L.; Manca, G.; Biggio, B.; Roli, F.
Fast minimum-norm adversarial attacks through adaptive norm constraints
2021-01-01 Pintor, Maura; Roli, Fabio; Brendel, Wieland; Biggio, Battista
Task-Specific Automation in Deep Learning Processes
2021-01-01 Buchgeher, G.; Czech, G.; Ribeiro, A. S.; Kloihofer, W.; Meloni, P.; Busia, P.; Deriu, G.; Pintor, M.; Biggio, B.; Chesta, C.; Rinelli, L.; Solans, D.; Portela, M.
Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks
2019-01-01 Demontis, Ambra; Melis, Marco; Pintor, Maura; Jagielski, Matthew; Biggio, Battista; Oprea, Alina; Nita-Rotaru, Cristina; Roli, Fabio
Optimization and deployment of CNNs at the Edge: The ALOHA experience
2019-01-01 Meloni, P.; Loi, D.; Busia, P.; Deriu, G.; Pimentel, A. D.; Sapra, D.; Stefanov, T.; Minakova, S.; Conti, F.; Benini, L.; Pintor, M.; Biggio, B.; Moser, B.; Shepelev, N.; Fragoulis, N.; Theodorakopoulos, I.; Masin, M.; Palumbo, F.
Be Right Beach: A Social IoT System for Sustainable Tourism Based on Beach Overcrowding Avoidance
2018-01-01 Girau, R.; Ferrara, E.; Pintor, M.; Sole, M.; Giusto, D.
Architecture-aware design and implementation of CNN algorithms for embedded inference: The ALOHA project
2018-01-01 Meloni, P.; Loi, D.; Deriu, G.; Pimentel, A. D.; Saprat, D.; Pintor, M.; Biggio, B.; Ripolles, O.; Solans, D.; Conti, F.; Benini, L.; Stefanov, T.; Minakova, S.; Moser, B.; Shepeleva, N.; Masin, M.; Palumbo, F.; Fragoulis, N.; Theodorakopoulos, I.
ALOHA: An architectural-aware framework for deep learning at the edge
2018-01-01 Meloni, P.; Loi, D.; Deriu, G.; Ripolles, O.; Solans, D.; Pimentel, A. D.; Sapra, D.; Pintor, Maura; Biggio, B.; Moser, B.; Shepeleva, N.; Stefanov, T.; Minakova, S.; Conti, F.; Benini, L.; Fragoulis, N.; Theodorakopoulos, I.; Masin, M.; Palumbo, F.
| Titolo | Data di pubblicazione | Autore(i) | Rivista | Editore |
|---|---|---|---|---|
| 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 | - |
| 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 |
| 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 | - | - |
| 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 |
| Why adversarial reprogramming works, when it fails, and how to tell the difference | 1-gen-2023 | Zheng, Yang; Feng, Xiaoyi; Xia, Zhaoqiang; Jiang, Xiaoyue; Demontis, Ambra; Pintor, Maura; Biggio, Battista; Roli, Fabio | INFORMATION SCIENCES | - |
| Samples on Thin Ice: Re-evaluating Adversarial Pruning of Neural Networks | 1-gen-2023 | Piras, Giorgio; Pintor, Maura; Demontis, Ambra; Biggio, Battista | - | - |
| 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 | - | - |
| 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 |
| 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 | - | ASSOC COMPUTING MACHINERY |
| 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 | - |
| The Threat of Offensive AI to Organizations | 1-gen-2023 | Mirsky, Y.; Demontis, A.; Kotak, J.; Shankar, R.; Gelei, D.; Yang, L.; Zhang, X.; Pintor, M.; Lee, W.; Elovici, Y.; Biggio, B. | COMPUTERS & SECURITY | - |
| 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 | - |
| Towards Debugging and Improving Adversarial Robustness Evaluations | 17-feb-2022 | - | - | Università degli Studi di Cagliari |
| Explaining Machine Learning DGA Detectors from DNS Traffic Data | 1-gen-2022 | Piras, Giorgio; Pintor, Maura; Demetrio, Luca; Biggio, Battista | - | - |
| Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples | 1-gen-2022 | Pintor, Maura; Demetrio, Luca; Sotgiu, Angelo; Demontis, Ambra; Carlini, Nicholas; Biggio, Battista; Roli, Fabio | - | Neural information processing systems foundation |
| Robust Machine Learning for Malware Detection over Time | 1-gen-2022 | Angioni, Daniele; Demetrio, Luca; Pintor, Maura; Biggio, Battista | - | - |
| Explainability-based Debugging of Machine Learning for Vulnerability Discovery | 1-gen-2022 | Sotgiu, Angelo; Pintor, Maura; Biggio, Battista | - | ACM, Association for Computing Machinery |
| secml: Secure and explainable machine learning in Python | 1-gen-2022 | Pintor, Maura; Demetrio, Luca; Sotgiu, Angelo; Melis, Marco; Demontis, Ambra; Biggio, Battista | SOFTWAREX | - |
| Detecting Anomalies from Video-Sequences: a Novel Descriptor | 1-gen-2021 | Orru', G.; Ghiani, D.; Pintor, M.; Marcialis, G. L.; Roli, F. | - | Institute of Electrical and Electronics Engineers |
| Slope: A First-order Approach for Measuring Gradient Obfuscation | 1-gen-2021 | Pintor, M.; Demetrio, L.; Manca, G.; Biggio, B.; Roli, F. | - | - |
| Fast minimum-norm adversarial attacks through adaptive norm constraints | 1-gen-2021 | Pintor, Maura; Roli, Fabio; Brendel, Wieland; Biggio, Battista | - | - |
| Task-Specific Automation in Deep Learning Processes | 1-gen-2021 | Buchgeher, G.; Czech, G.; Ribeiro, A. S.; Kloihofer, W.; Meloni, P.; Busia, P.; Deriu, G.; Pintor, M.; Biggio, B.; Chesta, C.; Rinelli, L.; Solans, D.; Portela, M. | - | Springer Science and Business Media Deutschland GmbH |
| Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks | 1-gen-2019 | Demontis, Ambra; Melis, Marco; Pintor, Maura; Jagielski, Matthew; Biggio, Battista; Oprea, Alina; Nita-Rotaru, Cristina; Roli, Fabio | - | USENIX Association |
| Optimization and deployment of CNNs at the Edge: The ALOHA experience | 1-gen-2019 | Meloni, P.; Loi, D.; Busia, P.; Deriu, G.; Pimentel, A. D.; Sapra, D.; Stefanov, T.; Minakova, S.; Conti, F.; Benini, L.; Pintor, M.; Biggio, B.; Moser, B.; Shepelev, N.; Fragoulis, N.; Theodorakopoulos, I.; Masin, M.; Palumbo, F. | - | Association for Computing Machinery, Inc |
| Be Right Beach: A Social IoT System for Sustainable Tourism Based on Beach Overcrowding Avoidance | 1-gen-2018 | Girau, R.; Ferrara, E.; Pintor, M.; Sole, M.; Giusto, D. | - | IEEE (Institute of Electrical and Electronics Engineers) |
| Architecture-aware design and implementation of CNN algorithms for embedded inference: The ALOHA project | 1-gen-2018 | Meloni, P.; Loi, D.; Deriu, G.; Pimentel, A. D.; Saprat, D.; Pintor, M.; Biggio, B.; Ripolles, O.; Solans, D.; Conti, F.; Benini, L.; Stefanov, T.; Minakova, S.; Moser, B.; Shepeleva, N.; Masin, M.; Palumbo, F.; Fragoulis, N.; Theodorakopoulos, I. | - | Institute of Electrical and Electronics Engineers Inc. |
| ALOHA: An architectural-aware framework for deep learning at the edge | 1-gen-2018 | Meloni, P.; Loi, D.; Deriu, G.; Ripolles, O.; Solans, D.; Pimentel, A. D.; Sapra, D.; Pintor, Maura; Biggio, B.; Moser, B.; Shepeleva, N.; Stefanov, T.; Minakova, S.; Conti, F.; Benini, L.; Fragoulis, N.; Theodorakopoulos, I.; Masin, M.; Palumbo, F. | - | Association for Computing Machinery |
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