Maura Pintor

According to our database, Maura Pintor authored at least 40 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2025

HO-FMN: Hyperparameter optimization for fast minimum-norm attacks.

Raffaele Mura, Giuseppe Floris, Luca Scionis, Giorgio Piras, Maura Pintor, Ambra Demontis, Giorgio Giacinto, Battista Biggio, Fabio Roli

Neurocomputing, 2025

2024

Rethinking data augmentation for adversarial robustness.

Hamid Eghbal-zadeh, Werner Zellinger, Maura Pintor, Kathrin Grosse, Khaled Koutini, Bernhard Alois Moser, Battista Biggio, Gerhard Widmer

Inf. Sci., January, 2024

Adversarial Pruning: A Survey and Benchmark of Pruning Methods for Adversarial Robustness.

Giorgio Piras, Maura Pintor, Ambra Demontis, Battista Biggio, Giorgio Giacinto, Fabio Roli

CoRR, 2024

Over-parameterization and Adversarial Robustness in Neural Networks: An Overview and Empirical Analysis.

Zhang Chen, Luca Demetrio, Srishti Gupta, Xiaoyi Feng, Zhaoqiang Xia, Antonio Emanuele Cinà, Maura Pintor, Luca Oneto, Ambra Demontis, Battista Biggio, Fabio Roli

CoRR, 2024

AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples.

Antonio Emanuele Cinà, Jérôme Rony, Maura Pintor, Luca Demetrio, Ambra Demontis, Battista Biggio, Ismail Ben Ayed, Fabio Roli

CoRR, 2024

Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates.

Daniele Angioni, Luca Demetrio, Maura Pintor, Luca Oneto, Davide Anguita, Battista Biggio, Fabio Roli

CoRR, 2024

σ-zero: Gradient-based Optimization of 𝓁₀-norm Adversarial Examples.

Antonio Emanuele Cinà, Francesco Villani, Maura Pintor, Lea Schönherr, Battista Biggio, Marcello Pelillo

CoRR, 2024

AISec '24: 17th ACM Workshop on Artificial Intelligence and Security.

Maura Pintor, Matthew Jagielski, Xinyun Chen

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023

ImageNet-Patch: A dataset for benchmarking machine learning robustness against adversarial patches.

Maura Pintor, Daniele Angioni, Angelo Sotgiu, Luca Demetrio, Ambra Demontis, Battista Biggio, Fabio Roli

Pattern Recognit., 2023

Stateful detection of adversarial reprogramming.

Yang Zheng, Xiaoyi Feng, Zhaoqiang Xia, Xiaoyue Jiang, Maura Pintor, Ambra Demontis, Battista Biggio, Fabio Roli

Inf. Sci., 2023

Why adversarial reprogramming works, when it fails, and how to tell the difference.

Yang Zheng, Xiaoyi Feng, Zhaoqiang Xia, Xiaoyue Jiang, Ambra Demontis, Maura Pintor, Battista Biggio, Fabio Roli

Inf. Sci., 2023

The Threat of Offensive AI to Organizations.

Yisroel Mirsky, Ambra Demontis, Jaidip Kotak, Ram Shankar, Gelei Deng, Liu Yang, Xiangyu Zhang, Maura Pintor, Wenke Lee, Yuval Elovici, Battista Biggio

Comput. Secur., 2023

Cybersecurity and AI: The PRALab Research Experience.

Maura Pintor, Giulia Orrù, Davide Maiorca, Ambra Demontis, Luca Demetrio, Gian Luca Marcialis, Battista Biggio, Fabio Roli

Proceedings of the Italia Intelligenza Artificiale, 2023

AI Security and Safety: The PRALab Research Experience.

Ambra Demontis, Maura Pintor, Luca Demetrio, Angelo Sotgiu, Daniele Angioni, Giorgio Piras, Srishti Gupta, Battista Biggio, Fabio Roli

Proceedings of the Italia Intelligenza Artificiale, 2023

Samples on Thin Ice: Re-Evaluating Adversarial Pruning of Neural Networks.

Giorgio Piras, Maura Pintor, Ambra Demontis, Battista Biggio

Proceedings of the International Conference on Machine Learning and Cybernetics, 2023

Detecting Attacks Against Deep Reinforcement Learning for Autonomous Driving.

Maura Pintor, Luca Demetrio, Angelo Sotgiu, Hsiao-Ying Lin, Chengfang Fang, Ambra Demontis, Battista Biggio

Proceedings of the International Conference on Machine Learning and Cybernetics, 2023

Minimizing Energy Consumption of Deep Learning Models by Energy-Aware Training.

Dario Lazzaro, Antonio Emanuele Cinà, Maura Pintor, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo

Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

Improving Fast Minimum-Norm Attacks with Hyperparameter Optimization.

Giorgio Piras, Giuseppe Floris, Raffaele Mura, Luca Scionis, Maura Pintor, Battista Biggio, Ambra Demontis

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

Towards Machine Learning Models that We Can Trust: Testing, Improving, and Explaining Robustness.

Maura Pintor, Ambra Demontis, Battista Biggio

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

AISec '23: 16th ACM Workshop on Artificial Intelligence and Security.

Maura Pintor, Florian Simon Tramèr, Xinyun Chen

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

Raze to the Ground: Query-Efficient Adversarial HTML Attacks on Machine-Learning Phishing Webpage Detectors.

Biagio Montaruli, Luca Demetrio, Maura Pintor, Luca Compagna, Davide Balzarotti, Battista Biggio

Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, 2023

2022

secml: Secure and explainable machine learning in Python.

Maura Pintor, Luca Demetrio, Angelo Sotgiu, Marco Melis, Ambra Demontis, Battista Biggio

SoftwareX, 2022

A Survey on Reinforcement Learning Security with Application to Autonomous Driving.

Ambra Demontis, Maura Pintor, Luca Demetrio, Kathrin Grosse, Hsiao-Ying Lin, Chengfang Fang, Battista Biggio, Fabio Roli

CoRR, 2022

Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples.

Maura Pintor, Luca Demetrio, Angelo Sotgiu, Ambra Demontis, Nicholas Carlini, Battista Biggio, Fabio Roli

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Explaining Machine Learning DGA Detectors from DNS Traffic Data.

Giorgio Piras, Maura Pintor, Luca Demetrio, Battista Biggio

Proceedings of the Italian Conference on Cybersecurity (ITASEC 2022), 2022

Robust Machine Learning for Malware Detection over Time.

Daniele Angioni, Luca Demetrio, Maura Pintor, Battista Biggio

Proceedings of the Italian Conference on Cybersecurity (ITASEC 2022), 2022

Explainability-based Debugging of Machine Learning for Vulnerability Discovery.

Angelo Sotgiu, Maura Pintor, Battista Biggio

Proceedings of the ARES 2022: The 17th International Conference on Availability, Reliability and Security, Vienna,Austria, August 23, 2022

2021

Evaluating Adversarial Attacks on ImageNet: A Reality Check on Misclassification Classes.

Utku Ozbulak, Maura Pintor, Arnout Van Messem, Wesley De Neve

CoRR, 2021

Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples.

Maura Pintor, Luca Demetrio, Angelo Sotgiu, Giovanni Manca, Ambra Demontis, Nicholas Carlini, Battista Biggio, Fabio Roli

CoRR, 2021

Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints.

Maura Pintor, Fabio Roli, Wieland Brendel, Battista Biggio

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Slope: A First-order Approach for Measuring Gradient Obfuscation.

Maura Pintor, Luca Demetrio, Giovanni Manca, Battista Biggio, Fabio Roli

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

Task-Specific Automation in Deep Learning Processes.

Georg Buchgeher, Gerald Czech, Adriano Souza Ribeiro, Werner Kloihofer, Paolo Meloni, Paola Busia, Gianfranco Deriu, Maura Pintor, Battista Biggio, Cristina Chesta, Luca Rinelli, David Solans, Manuel Portela

Proceedings of the Database and Expert Systems Applications - DEXA 2021 Workshops, 2021

2020

Detecting Anomalies from Video-Sequences: a Novel Descriptor.

Giulia Orrù, Davide Ghiani, Maura Pintor, Gian Luca Marcialis, Fabio Roli

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

secml: A Python Library for Secure and Explainable Machine Learning.

Marco Melis, Ambra Demontis, Maura Pintor, Angelo Sotgiu, Battista Biggio

CoRR, 2019

Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks.

Ambra Demontis, Marco Melis, Maura Pintor, Matthew Jagielski, Battista Biggio, Alina Oprea, Cristina Nita-Rotaru, Fabio Roli

Proceedings of the 28th USENIX Security Symposium, 2019

Optimization and deployment of CNNs at the edge: the ALOHA experience.

Paolo Meloni, Daniela Loi, Paola Busia, Gianfranco Deriu, Andy D. Pimentel, Dolly Sapra, Todor P. Stefanov, Svetlana Minakova, Francesco Conti, Luca Benini, Maura Pintor, Battista Biggio, Bernhard Moser, Natalia Shepeleva, Nikos Fragoulis, Ilias Theodorakopoulos, Michael Masin, Francesca Palumbo

Proceedings of the 16th ACM International Conference on Computing Frontiers, 2019

2018

On the Intriguing Connections of Regularization, Input Gradients and Transferability of Evasion and Poisoning Attacks.

Ambra Demontis, Marco Melis, Maura Pintor, Matthew Jagielski, Battista Biggio, Alina Oprea, Cristina Nita-Rotaru, Fabio Roli

CoRR, 2018

Be Right Beach: A Social IoT System for Sustainable Tourism Based on Beach Overcrowding Avoidance.

Roberto Girau, Enrico Ferrara, Maura Pintor, Mariella Sole, Daniele D. Giusto

Proceedings of the IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2018

Architecture-aware design and implementation of CNN algorithms for embedded inference: the ALOHA project.

Paolo Meloni, Daniela Loi, Gianfranco Deriu, Andy D. Pimentel, Dolly Sapra, Maura Pintor, Battista Biggio, Oscar Ripolles, David Solans, Francesco Conti, Luca Benini, Todor P. Stefanov, Svetlana Minakova, Bernhard Moser, Natalia Shepeleva, Michael Masin, Francesca Palumbo, Nikos Fragoulis, Ilias Theodorakopoulos

Proceedings of the 30th International Conference on Microelectronics, 2018

ALOHA: an architectural-aware framework for deep learning at the edge.

Paolo Meloni, Daniela Loi, Gianfranco Deriu, Andy D. Pimentel, Dolly Sapra, Bernhard Moser, Natalia Shepeleva, Francesco Conti, Luca Benini, Oscar Ripolles, David Solans, Maura Pintor, Battista Biggio, Todor P. Stefanov, Svetlana Minakova, Nikolaos Fragoulis, Ilias Theodorakopoulos, Michael Masin, Francesca Palumbo

Proceedings of the Workshop on INTelligent Embedded Systems Architectures and Applications, 2018