Maura Pintor (female) is a Postdoctoral Researcher in PRA Lab, at the University of Cagliari, Italy. She received the MSc degree in Telecommunications Engineering with honors in 2018, from the University of Cagliari (Italy).
Her research interests include adversarial machine learning and machine learning explainability methods, with applications in cybersecurity. She is co-author of the paper "Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks", accepted to USENIX 2019, and of the paper "Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints", recently accepted at Neurips 2021. She was a visiting student at Eberhard Karls Universität Tübingen, from March to June 2020.
She collaborated with Pluribus One in the European Project ALOHA, and she is now currently collaborating with the same company in the European Project AssureMOSS.
She collaborates with PRA Lab since 2018.
Research Interests: Cybersecurity, Machine Learning, Adversarial Machine Learning.
