Maura Pintor
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
8
Active years
2020–2025
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples. | Antonio Emanuele Cin, Jrme Rony, Maura Pintor, Luca Demetrio, Ambra Demontis, Battista Biggio, Ismail Ben Ayed, Fabio Roli |
| 2025 | CCS | AISec '25: 18th ACM Workshop on Artificial Intelligence and Security. | Maura Pintor, Matthew Jagielski, Ruoxi Jia |
| 2025 | ICDAR | Position-Aware Stamp-Like Adversarial Attack for Document Classification. | Qi Dong, Lei Kang, Maura Pintor, Dimosthenis Karatzas |
| 2025 | ICLR | σ-zero: Gradient-based Optimization of ℓ0-norm Adversarial Examples. | Antonio Emanuele Cin, Francesco Villani, Maura Pintor, Lea Schnherr, Battista Biggio, Marcello Pelillo |
| 2024 | CCS | AISec '24: 17th ACM Workshop on Artificial Intelligence and Security. | Maura Pintor, Matthew Jagielski, Xinyun Chen |
| 2024 | ICMLC | LFPD: Local-Feature-Powered Defense Against Adaptive Backdoor Attacks. | Wei Guo, Ambra Demontis, Maura Pintor, Patrick P. K. Chan, Battista Biggio |
| 2024 | ICMLC | Data Drift in Android Malware Detection. | Luca Minnei, Hicham Eddoubi, Angelo Sotgiu, Maura Pintor, Ambra Demontis, Battista Biggio |
| 2023 | CCS | 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 |
| 2023 | CCS | AISec '23: 16th ACM Workshop on Artificial Intelligence and Security. | Maura Pintor, Florian Simon Tramr, Xinyun Chen |
| 2023 | ESANN | Towards Machine Learning Models that We Can Trust: Testing, Improving, and Explaining Robustness. | Maura Pintor, Ambra Demontis, Battista Biggio |
| 2023 | ESANN | Improving Fast Minimum-Norm Attacks with Hyperparameter Optimization. | Giorgio Piras, Giuseppe Floris, Raffaele Mura, Luca Scionis, Maura Pintor, Battista Biggio, Ambra Demontis |
| 2023 | ICIAP | Minimizing Energy Consumption of Deep Learning Models by Energy-Aware Training. | Dario Lazzaro, Antonio Emanuele Cin, Maura Pintor, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo |
| 2023 | ICMLC | Detecting Attacks Against Deep Reinforcement Learning for Autonomous Driving. | Maura Pintor, Luca Demetrio, Angelo Sotgiu, Hsiao-Ying Lin, Chengfang Fang, Ambra Demontis, Battista Biggio |
| 2023 | ICMLC | Samples on Thin Ice: Re-Evaluating Adversarial Pruning of Neural Networks. | Giorgio Piras, Maura Pintor, Ambra Demontis, Battista Biggio |
| 2021 | ESANN | Slope: A First-order Approach for Measuring Gradient Obfuscation. | Maura Pintor, Luca Demetrio, Giovanni Manca, Battista Biggio, Fabio Roli |
| 2020 | ICPR | Detecting Anomalies from Video-Sequences: a Novel Descriptor. | Giulia Orr, Davide Ghiani, Maura Pintor, Gian Luca Marcialis, Fabio Roli |