DEMETRIO, LUCA
DEMETRIO, LUCA
100023 - Dipartimento di Informatica, bioingegneria, robotica e ingegneria dei sistemi
Adversarial EXEmples: A Survey and Experimental Evaluation of Practical Attacks on Machine Learning for Windows Malware Detection
2021-01-01 Demetrio, L.; Coull, S. E.; Biggio, B.; Lagorio, G.; Armando, A.; Roli, F.
Functionality-Preserving Black-Box Optimization of Adversarial Windows Malware
2021-01-01 Demetrio, Luca; Biggio, Battista; Lagorio, Giovanni; Roli, Fabio; Armando, Alessandro
Hardening RGB-D object recognition systems against adversarial patch attacks
2023-01-01 Zheng, Yang; Demetrio, Luca; Emanuele Cinà, Antonio; Feng, Xiaoyi; Xia, Zhaoqiang; Jiang, Xiaoyue; Demontis, Ambra; Biggio, Battista; Roli, Fabio
ImageNet-Patch: A dataset for benchmarking machine learning robustness against adversarial patches
2023-01-01 Pintor, M.; Angioni, D.; Sotgiu, A.; Demetrio, L.; Demontis, A.; Biggio, B.; Roli, F.
Nebula: Self-Attention for Dynamic Malware Analysis
2024-01-01 Trizna, Dmitrijs; Demetrio, Luca; Biggio, Battista; Roli, Fabio
Practical Attacks on Machine Learning: A Case Study on Adversarial Windows Malware
2022-01-01 Demetrio, Luca; Biggio, Battista; Roli, Fabio
Practical Evaluation of Poisoning Attacks on Online Anomaly Detectors in Industrial Control Systems
2022-01-01 Kravchik, Moshe; Demetrio, Luca; Biggio, Battista; Shabtai, Asaf
secml: Secure and explainable machine learning in Python
2022-01-01 Pintor, M.; Demetrio, L.; Sotgiu, A.; Melis, M.; Demontis, A.; Biggio, B.
Towards learning trustworthily, automatically, and with guarantees on graphs: An overview
2022-01-01 Oneto, L.; Navarin, N.; Biggio, B.; Errica, F.; Micheli, A.; Scarselli, F.; Bianchini, M.; Demetrio, L.; Bongini, P.; Tacchella, A.; Sperduti, A.
WAF-A-MoLE: An adversarial tool for assessing ML-based WAFs
2020-01-01 Valenza, Andrea; Demetrio, Luca; Costa, Gabriele; Lagorio, Giovanni
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
Adversarial EXEmples: A Survey and Experimental Evaluation of Practical Attacks on Machine Learning for Windows Malware Detection | 1-gen-2021 | Demetrio, L.; Coull, S. E.; Biggio, B.; Lagorio, G.; Armando, A.; Roli, F. | |
Functionality-Preserving Black-Box Optimization of Adversarial Windows Malware | 1-gen-2021 | Demetrio, Luca; Biggio, Battista; Lagorio, Giovanni; Roli, Fabio; Armando, Alessandro | |
Hardening RGB-D object recognition systems against adversarial patch attacks | 1-gen-2023 | Zheng, Yang; Demetrio, Luca; Emanuele Cinà, Antonio; Feng, Xiaoyi; Xia, Zhaoqiang; Jiang, Xiaoyue; Demontis, Ambra; Biggio, Battista; Roli, Fabio | |
ImageNet-Patch: A dataset for benchmarking machine learning robustness against adversarial patches | 1-gen-2023 | Pintor, M.; Angioni, D.; Sotgiu, A.; Demetrio, L.; Demontis, A.; Biggio, B.; Roli, F. | |
Nebula: Self-Attention for Dynamic Malware Analysis | 1-gen-2024 | Trizna, Dmitrijs; Demetrio, Luca; Biggio, Battista; Roli, Fabio | |
Practical Attacks on Machine Learning: A Case Study on Adversarial Windows Malware | 1-gen-2022 | Demetrio, Luca; Biggio, Battista; Roli, Fabio | |
Practical Evaluation of Poisoning Attacks on Online Anomaly Detectors in Industrial Control Systems | 1-gen-2022 | Kravchik, Moshe; Demetrio, Luca; Biggio, Battista; Shabtai, Asaf | |
secml: Secure and explainable machine learning in Python | 1-gen-2022 | Pintor, M.; Demetrio, L.; Sotgiu, A.; Melis, M.; Demontis, A.; Biggio, B. | |
Towards learning trustworthily, automatically, and with guarantees on graphs: An overview | 1-gen-2022 | Oneto, L.; Navarin, N.; Biggio, B.; Errica, F.; Micheli, A.; Scarselli, F.; Bianchini, M.; Demetrio, L.; Bongini, P.; Tacchella, A.; Sperduti, A. | |
WAF-A-MoLE: An adversarial tool for assessing ML-based WAFs | 1-gen-2020 | Valenza, Andrea; Demetrio, Luca; Costa, Gabriele; Lagorio, Giovanni |