DEMETRIO, LUCA
DEMETRIO, LUCA
100023 - Dipartimento di Informatica, bioingegneria, robotica e ingegneria dei sistemi
A New Formulation for Zeroth-Order Optimization of Adversarial EXEmples in Malware Detection
2025-01-01 Rando, Marco; Demetrio, Luca; Rosasco, Lorenzo; Roli, Fabio
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
HORNET: Fast and minimal adversarial perturbations
2025-01-01 Wu, Jiaping; Cina', Antonio Emanuele; Villani, Francesco; Xia, Zhaoqiang; Demetrio, Luca; Oneto, Luca; Anguita, Davide; Roli, Fabio; Feng, Xiaoyi
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.
ModSec-AdvLearn: Countering Adversarial SQL Injections With Robust Machine Learning
2025-01-01 Floris, G.; Scano, C.; Montaruli, B.; Demetrio, L.; Valenza, A.; Compagna, L.; Ariu, D.; Piras, L.; Balzarotti, D.; Biggio, B.
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
Robust Large-Scale Detection of Living-Off-the-Land Reverse Shells via Data Synthesis
2026-01-01 Trizna, Dmitrijs; Demetrio, Luca; Biggio, Battista; Roli, Fabio
Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates
2025-01-01 Angioni, D.; Demetrio, L.; Pintor, M.; Oneto, L.; Anguita, D.; Biggio, B.; Roli, F.
secml: Secure and explainable machine learning in Python
2022-01-01 Pintor, M.; Demetrio, L.; Sotgiu, A.; Melis, M.; Demontis, A.; Biggio, B.
SLIFER: Investigating performance and robustness of malware detection pipelines
2024-01-01 Ponte, Andrea; Trizna, Dmitrijs; Demetrio, Luca; Biggio, Battista; Tesfai Ogbu, Ivan; Roli, Fabio
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.
Trust Under Siege: Label Spoofing Attacks Against Machine Learning for Android Malware Detection
2026-01-01 Lan, Tianwei; Demetrio, Luca; Nait-Abdesselam, Farid; Han, Yufei; Aonzo, Simone
Updating Windows malware detectors: Balancing robustness and regression against adversarial EXEmples
2025-01-01 Kozak, Matous; Demetrio, Luca; Trizna, Dmitrijs; Roli, Fabio
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 |
|---|---|---|---|
| A New Formulation for Zeroth-Order Optimization of Adversarial EXEmples in Malware Detection | 1-gen-2025 | Rando, Marco; Demetrio, Luca; Rosasco, Lorenzo; Roli, Fabio | |
| 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 | |
| HORNET: Fast and minimal adversarial perturbations | 1-gen-2025 | Wu, Jiaping; Cina', Antonio Emanuele; Villani, Francesco; Xia, Zhaoqiang; Demetrio, Luca; Oneto, Luca; Anguita, Davide; Roli, Fabio; Feng, Xiaoyi | |
| 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. | |
| ModSec-AdvLearn: Countering Adversarial SQL Injections With Robust Machine Learning | 1-gen-2025 | Floris, G.; Scano, C.; Montaruli, B.; Demetrio, L.; Valenza, A.; Compagna, L.; Ariu, D.; Piras, L.; Balzarotti, D.; Biggio, B. | |
| 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 | |
| Robust Large-Scale Detection of Living-Off-the-Land Reverse Shells via Data Synthesis | 1-gen-2026 | Trizna, Dmitrijs; Demetrio, Luca; Biggio, Battista; Roli, Fabio | |
| Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates | 1-gen-2025 | Angioni, D.; Demetrio, L.; Pintor, M.; Oneto, L.; Anguita, D.; Biggio, B.; Roli, F. | |
| secml: Secure and explainable machine learning in Python | 1-gen-2022 | Pintor, M.; Demetrio, L.; Sotgiu, A.; Melis, M.; Demontis, A.; Biggio, B. | |
| SLIFER: Investigating performance and robustness of malware detection pipelines | 1-gen-2024 | Ponte, Andrea; Trizna, Dmitrijs; Demetrio, Luca; Biggio, Battista; Tesfai Ogbu, Ivan; Roli, Fabio | |
| 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. | |
| Trust Under Siege: Label Spoofing Attacks Against Machine Learning for Android Malware Detection | 1-gen-2026 | Lan, Tianwei; Demetrio, Luca; Nait-Abdesselam, Farid; Han, Yufei; Aonzo, Simone | |
| Updating Windows malware detectors: Balancing robustness and regression against adversarial EXEmples | 1-gen-2025 | Kozak, Matous; Demetrio, Luca; Trizna, Dmitrijs; Roli, Fabio | |
| WAF-A-MoLE: An adversarial tool for assessing ML-based WAFs | 1-gen-2020 | Valenza, Andrea; Demetrio, Luca; Costa, Gabriele; Lagorio, Giovanni |