P. Meloni, D. Loi, G. Deriu, A. Pimentel, D. Sapra, B. Moser, N. Shepeleva, F. Conti, L. Benini, O. Ripolles, D. Solans, Maura Pintor, B. Biggio, T. Stefanov, S. Minakova, N. Fragoulis, I. Theodorakopoulos, M. Masin, F. Palumbo ALOHA: An Architectural-Aware Framework for Deep Learning at the Edge . In the proceedings of Proceedings of the Workshop on INTelligent Embedded Systems Architectures and Applications, 2018

Paolo Meloni, Daniela Loi, Gianfranco Deriu, Andy Pimentel, Dolly Sapra, Maura Pintor, Battista Biggio, Oscar Ripolles, David Solans, Francesco Conti, Luca Benini, Todor Stefanov, Svetlana Minakova, Bernhard Moser, Natalia Shepeleva, Michael Masin, Francesca Palumbo, Nikos Fragoulis, Ilias Theodorakopoulos Architecture-aware design and implementation of CNN algorithms for embedded inference: the ALOHA project . In the proceedings of 2018 30th International Conference on Microelectronics (ICM), 2018

Roberto Girau, Enrico Ferrara, Maura Pintor, Mariella Sole, Daniele Giusto Be Right Beach: A Social IoT system for sustainable tourism based on beach overcrowding avoidance . In the proceedings of 2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), 2018

Paolo Meloni, Daniela Loi, Paola Busia, Gianfranco Deriu, Andy Pimentel, Dolly Sapra, Todor Stefanov, Svetlana Minakova, Francesco Conti, Luca Benini, Maura Pintor, Battista Biggio, Bernhard Moser, Natalia Shepeleva, Nikos Fragoulis, Ilias Theodorakopoulos, Michael Masin, Francesca Palumbo Optimization and Deployment of CNNs at the Edge: The ALOHA Experience . In the proceedings of Proceedings of the 16th ACM International Conference on Computing Frontiers, 2019

Ambra Demontis, Marco Melis, Maura Pintor, Matthew Jagielski, Battista Biggio, Alina Oprea, Cristina Nita-Rotaru, Fabio Roli Why do adversarial attacks transfer? explaining transferability of evasion and poisoning attacks . In the proceedings of 28th USENIX security symposium (USENIX security 19), 2019

Giulia Orrù, Davide Ghiani, Maura Pintor, Gian Marcialis, Fabio Roli Detecting Anomalies from Video-Sequences: a Novel Descriptor . In the proceedings of 25th International Conference on Pattern Recognition (ICPR 2020), 2020

Utku Ozbulak, M Pintor, Arnout Van Messem, Wesley De Neve Evaluating adversarial attacks on ImageNet: A reality check on misclassification classes . In the proceedings of NeurIPS2021, 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Workshop on ImageNet: Past, Present, and Future, 2021

Maura Pintor, Fabio Roli, Wieland Brendel, Battista Biggio Fast minimum-norm adversarial attacks through adaptive norm constraints . In the proceedings of Advances in Neural Information Processing Systems, 2021

Maura Pintor, Luca Demetrio, Giovanni Manca, Battista Biggio, Fabio Roli Slope: A First-order Approach for Measuring Gradient Obfuscation . In the proceedings of ESANN 2021 - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 2021

Georg Buchgeher, Gerald Czech, Adriano Ribeiro, Werner Kloihofer, Paolo Meloni, Paola Busia, Gianfranco Deriu, Maura Pintor, Battista Biggio, Cristina Chesta, Luca Rinelli, David Solans, Manuel Portela Task-Specific Automation in Deep Learning Processes . In the proceedings of Database and Expert Systems Applications - DEXA 2021 Workshops, 2021

Ambra Demontis, Maura Pintor, Luca Demetrio, Kathrin Grosse, Hsiao-Ying Lin, Chengfang Fang, Battista Biggio, Fabio Roli A Survey on Reinforcement Learning Security with Application to Autonomous Driving . arXiv preprint arXiv:2212.06123, 2022

Giorgio Piras, Maura Pintor, Luca Demetrio, Battista Biggio Explaining Machine Learning DGA Detectors from DNS Traffic Data . In the proceedings of Proceedings of the Italian Conference on Cybersecurity (ITASEC 2022), Rome, Italy, June 20-23, 2022, 2022

Maura Pintor, Luca Demetrio, Angelo Sotgiu, Giovanni Manca, Ambra Demontis, Nicholas Carlini, Battista Biggio, Fabio Roli Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples . In the proceedings of Advances in Neural Information Processing Systems, 2022

Daniele Angioni, Luca Demetrio, Maura Pintor, Battista Biggio Robust Machine Learning for Malware Detection over Time . In the proceedings of Proceedings of the Italian Conference on Cybersecurity (ITASEC 2022), Rome, Italy, June 20-23, 2022, 2022

Yisroel Mirsky, Ambra Demontis, Jaidip Kotak, Ram Shankar, Deng Gelei, Liu Yang, Xiangyu Zhang, Maura Pintor, Wenke Lee, Yuval Elovici, Battista Biggio The threat of offensive ai to organizations . Computers & Security, 2022

Maura Pintor Towards Debugging and Improving Adversarial Robustness Evaluations . UNICA, 2022

Maura Pintor, Luca Demetrio, Angelo Sotgiu, Marco Melis, Ambra Demontis, Battista Biggio secml: Secure and explainable machine learning in Python . SoftwareX, 2022

Maura Pintor, Daniele Angioni, Angelo Sotgiu, Luca Demetrio, Ambra Demontis, Battista Biggio, Fabio Roli ImageNet-Patch: A dataset for benchmarking machine learning robustness against adversarial patches . Pattern Recognition, 2023

Yang Zheng, Xiaoyi Feng, Zhaoqiang Xia, Xiaoyue Jiang, Maura Pintor, Ambra Demontis, Battista Biggio, Fabio Roli Stateful Detection of Adversarial Reprogramming . Information Sciences, 2023

Yang Zheng, Xiaoyi Feng, Zhaoqiang Xia, Xiaoyue Jiang, Ambra Demontis, Maura Pintor, Battista Biggio, Fabio Roli Why adversarial reprogramming works, when it fails, and how to tell the difference . Information Sciences, 2023

Paper Title Number 4 . GitHub Journal of Bugs, 2024