| 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 | 510 | 2019 |
| The threat of offensive ai to organizations Y Mirsky, A Demontis, J Kotak, R Shankar, D Gelei, L Yang, X Zhang, ... Computers & Security 124, 103006, 2023 | 117 | 2023 |
| Fast minimum-norm adversarial attacks through adaptive norm constraints M Pintor, F Roli, W Brendel, B Biggio Advances in Neural Information Processing Systems 34, 20052-20062, 2021 | 83 | 2021 |
| 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 6, 2019 | 66* | 2019 |
| ImageNet-Patch: A dataset for benchmarking machine learning robustness against adversarial patches M Pintor, D Angioni, A Sotgiu, L Demetrio, A Demontis, B Biggio, F Roli Pattern Recognition 134, 109064, 2023 | 58 | 2023 |
| Indicators of attack failure: Debugging and improving optimization of adversarial examples M Pintor, L Demetrio, A Sotgiu, A Demontis, N Carlini, B Biggio, F Roli Advances in Neural Information Processing Systems 35, 23063-23076, 2022 | 42 | 2022 |
| Why adversarial reprogramming works, when it fails, and how to tell the difference Y Zheng, X Feng, Z Xia, X Jiang, A Demontis, M Pintor, B Biggio, F Roli Information Sciences 632, 130-143, 2023 | 22 | 2023 |
| Explainability-based debugging of machine learning for vulnerability discovery A Sotgiu, M Pintor, B Biggio Proceedings of the 17th International Conference on Availability …, 2022 | 20 | 2022 |
| 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 | 18 | 2019 |
| 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 | 18 | 2018 |
| 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 | 18 | 2018 |
| Detecting anomalies from video-sequences: a novel descriptor G Orru, D Ghiani, M Pintor, GL Marcialis, F Roli 2020 25th International Conference on Pattern Recognition (ICPR), 4642-4649, 2021 | 12 | 2021 |
| Minimizing energy consumption of deep learning models by energy-aware training D Lazzaro, AE Ciną, M Pintor, A Demontis, B Biggio, F Roli, M Pelillo International Conference on Image Analysis and Processing, 515-526, 2023 | 10 | 2023 |
| Raze to the ground: Query-efficient adversarial html attacks on machine-learning phishing webpage detectors B Montaruli, L Demetrio, M Pintor, L Compagna, D Balzarotti, B Biggio Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security …, 2023 | 8 | 2023 |
| Explaining machine learning DGA detectors from DNS traffic data G Piras, M Pintor, L Demetrio, B Biggio CEUR WORKSHOP PROCEEDINGS 3260, 150-168, 2022 | 7 | 2022 |
| Evaluating adversarial attacks on imagenet: a reality check on misclassification classes U Ozbulak, M Pintor, A Van Messem, W De Neve arXiv preprint arXiv:2111.11056, 2021 | 7 | 2021 |
| Rethinking data augmentation for adversarial robustness H Eghbal-zadeh, W Zellinger, M Pintor, K Grosse, K Koutini, BA Moser, ... Information Sciences 654, 119838, 2024 | 6 | 2024 |
| Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates D Angioni, L Demetrio, M Pintor, L Oneto, D Anguita, B Biggio, F Roli arXiv preprint arXiv:2402.17390, 2024 | 4 | 2024 |
| A survey on reinforcement learning security with application to autonomous driving A Demontis, M Pintor, L Demetrio, K Grosse, HY Lin, C Fang, B Biggio, ... arXiv preprint arXiv:2212.06123, 2022 | 4 | 2022 |
| AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples AE Ciną, J Rony, M Pintor, L Demetrio, A Demontis, B Biggio, IB Ayed, ... arXiv preprint arXiv:2404.19460, 2024 | 3 | 2024 |
Battista BiggioFull Professor, University of Cagliari, ItalyVerified email at unica.it
