Maura Pintor

Assistant Professor, University of Cagliari

Joined

January 2020

Names

Maura Pintor (Preferred)

Emails

****@unica.it (Confirmed)

Personal Links

Career & Education History

Assistant Professor

University of Cagliari (unica.it)

2023 – 2026

Postdoc

University of Cagliari (unica.it)

2022 – 2023

PhD student

University of Cagliari (unica.it)

2018 – 2022

Advisors, Relations & Conflicts

Coworker

Luca Demetrio

Present

Coworker

Ambra Demontis

Present

Coauthor

Nicholas Carlini

Present

Coauthor

Wieland Brendel

Present

PhD Advisor

Fabio Roli

Present

PhD Advisor

Battista Biggio

Present

Coauthor

Jérôme Rony

Present

Postdoc Advisor

Dimosthenis Karatzas

Present

Coauthor

Yisroel Mirsky

Present

Coauthor

Dimosthenis Karatzas

Present

Expertise

machine learning

adversarial machine learning

Present

Publications

RAID: A Benchmark Dataset for Testing the Adversarial Robustness of AI-Generated Image Detectors
Hicham Eddoubi, Jonas Ricker, Federico Cocchi, Angelo Sotgiu, Maura Pintor, Marcella Cornia, Lorenzo Baraldi, Asja Fischer, Rita Cucchiara, Battista Biggio
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
S2AP: Score-space Sharpness Minimization for Adversarial Pruning
Giorgio Piras, Qi Zhao, Fabio Brau, Maura Pintor, Christian Wressnegger, Battista Biggio
- Submitted to ICLR 2026
- Readers: Everyone
LatentBreak: Jailbreaking Large Language Models through Latent Space Feedback
Raffaele Mura, Giorgio Piras, Kamilė Lukošiūtė, Maura Pintor, Amin Karbasi, Battista Biggio
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
RAID: A Dataset for Testing the Adversarial Robustness of AI-Generated Image Detectors
Hicham Eddoubi, Jonas Ricker, Federico Cocchi, Lorenzo Baraldi, Angelo Sotgiu, Maura Pintor, Marcella Cornia, Lorenzo Baraldi, Asja Fischer, Rita Cucchiara, Battista Biggio
- Submitted to NeurIPS 2025 Datasets and Benchmarks Track
- Readers: Everyone
TransferBench: Benchmarking Ensemble-based Black-box Transfer Attacks
Fabio Brau, Maura Pintor, Antonio Emanuele Cinà, Raffaele Mura, Luca Scionis, Luca Oneto, Fabio Roli, Battista Biggio
- NeurIPS 2025 Datasets and Benchmarks Track poster
- Readers: Everyone
$\sigma$-zero: Gradient-based Optimization of $\ell_0$-norm Adversarial Examples
Antonio Emanuele Cinà, Francesco Villani, Maura Pintor, Lea Schönherr, Battista Biggio, Marcello Pelillo
- ICLR 2025 Poster
- Readers: Everyone
Rethinking Data Augmentation for Adversarial Robustness
Hamid Eghbalzadeh, Werner Zellinger, Maura Pintor, Kathrin Grosse, Khaled Koutini, Bernhard A. Moser, Battista Biggio, Gerhard Widmer
- 05 Dec 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
$\sigma$-zero: Gradient-based Optimization of \\$\ell_0$-norm Adversarial Examples
Antonio Emanuele Cinà, Francesco Villani, Maura Pintor, Lea Schönherr, Battista Biggio, Marcello Pelillo
- Submitted to ICLR 2024
- Readers: Everyone
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
- 2023 (modified: 16 Apr 2023)
- Pattern Recognit. 2023
- Readers: Everyone
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
- 2023 (modified: 16 Apr 2023)
- Inf. Sci. 2023
- Readers: Everyone

View all 43 publications

Co-Authors

View all 89 co-authors