Maura Pintor
Maura Pintor
PhD Student
Verified email at unica.it
Title
Cited by
Cited by
Year
Why do adversarial attacks transfer? explaining transferability of evasion and poisoning attacks
A Demontis, M Melis, M Pintor, M Jagielski, B Biggio, A Oprea, ...
28th {USENIX} Security Symposium ({USENIX} Security 19), 321-338, 2019
1022019
secml: A python library for secure and explainable machine learning
M Melis, A Demontis, M Pintor, A Sotgiu, B Biggio
arXiv preprint arXiv:1912.10013, 2019
142019
On the intriguing connections of regularization, input gradients and transferability of evasion and poisoning attacks
A Demontis, M Melis, M Pintor, M Jagielski, B Biggio, A Oprea, ...
arXiv preprint arXiv:1809.02861, 2018
112018
ALOHA: an architectural-aware framework for deep learning at the edge
P Meloni, D Loi, G Deriu, AD Pimentel, D Sapra, B Moser, N Shepeleva, ...
Proceedings of the Workshop on INTelligent Embedded Systems Architectures …, 2018
82018
Be Right Beach: A Social IoT system for sustainable tourism based on beach overcrowding avoidance
R Girau, E Ferrara, M Pintor, M Sole, D Giusto
2018 IEEE International Conference on Internet of Things (iThings) and IEEE …, 2018
72018
Optimization and deployment of CNNs at the edge: the ALOHA experience
P Meloni, D Loi, P Busia, G Deriu, AD Pimentel, D Sapra, T Stefanov, ...
Proceedings of the 16th ACM International Conference on Computing Frontiers …, 2019
52019
Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints
M Pintor, F Roli, W Brendel, B Biggio
arXiv preprint arXiv:2102.12827, 2021
12021
Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples
M Pintor, L Demetrio, A Sotgiu, G Manca, A Demontis, N Carlini, B Biggio, ...
arXiv preprint arXiv:2106.09947, 2021
2021
Detecting Anomalies from Video-Sequences: a Novel Descriptor
G Orrų, D Ghiani, M Pintor, GL Marcialis, F Roli
2020 25th International Conference on Pattern Recognition (ICPR), 4642-4649, 2021
2021
Attacking machine learning for fun and profit (with the authors of SecML Ep. 80)
SML Contributors, M Melis, A Demontis, M Pintor, B Biggio
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SML Contributors, M Melis, A Demontis, M Pintor, B Biggio
ABOUT THIS EPISODE
SML Contributors, M Melis, A Demontis, M Pintor, B Biggio
Attacking machine learning for fun and profit (with the authors of SecML)(Ep. 80)
M Melis, A Demontis, M Pintor, B Biggio
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Articles 1–13