Maura Pintor
Assistant Professor at Università degli Studi di Cagliari
Sardinia, Italy
Summary
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Senior🎓
Top SchoolMaura Pintor is an Assistant Professor and researcher at the PRA Lab, University of Cagliari, with eight years of experience at the intersection of adversarial machine learning and practical software development. She holds a PhD focused on debugging and improving adversarial robustness evaluations and is co-author of influential papers on attack transferability (USENIX Security) and fast minimum-norm attacks (NeurIPS). Maura contributes to prominent open-source tooling such as the foolbox adversarial library, where she has fixed attacks, added tests, and improved code quality, and she also writes practical Python solutions for community coding challenges. Her career spans academic visits (Tübingen, Computer Vision Center) and industry collaborations in H2020 projects, demonstrating an ability to translate research into applied systems. Based in Sardinia, she blends rigorous theoretical work with hands-on engineering—aptly summarized on GitHub as “fighting evil adversarial pandas”—reflecting both technical depth and a playful, problem-solving spirit.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Electronic and Computer Engineering, With Honors, Doctor of Philosophy - PhD, Electronic and Computer Engineering, With Honors at Università degli Studi di CagliariHigh School, High School at Liceo Scientifico Michelangelo
Italian, English
Stackoverflow
198reputation
21kreached
15answers
1question
Github Skills (19)
pytorch10
adversarial-attacks10
python10
machine-learning10
coding10
tensorflow9
data-analysis9
nlp8
gensim8
jax8
api8
natural-language-processing8
apim8
tweepy7
boxplot6
Programming languages (3)
Github contributions (5)
bethgelab/foolbox
Oct 2020 - Jun 2021
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
Role in this project:
ML Engineer
ML EngineerContributions:10 commits, 2 PRs, 1 comment in 7 months
Contributions summary:Maura primarily contributed to the `foolbox` repository by addressing technical issues within the adversarial attack implementations. They fixed a bug related to cosine annealing in the ddn attack and addressed multiple code style issues (pep8) related to line lengths. Furthermore, they added tests for a new Fast-Minimum-Norm attack, showcasing a focus on ensuring the quality and functionality of the adversarial attack library. The user's work involves the correction and improvement of existing attacks, indicating a detailed understanding of the framework.
pytorchadversarial-attackspythondeep-learningadversarial
pybites/challenges
May 2018 - Aug 2018
PyBites Code Challenges
Role in this project:Back-end Developer
Back-end DeveloperContributions:5 commits, 7 PRs in 3 months
Contributions summary:Maura contributed code for multiple PyBites code challenges, implementing solutions in Python. They developed solutions for challenges focusing on word value calculations, a simple word game, and tag analysis. Further contributions involved retrieving and saving tweets from Twitter, and performing natural language analysis of different Twitter users using the `gensim` library.
codechallengespythonpybites
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