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.
AI Security and Safety: The PRALab Research Experience
2023-01-01 Demontis, A.; Pintor, M.; Demetrio, L.; Sotgiu, A.; Angioni, D.; Piras, G.; Gupta, S.; Biggio, B.; Roli, F.
Cybersecurity and AI: The PRALab Research Experience
2023-01-01 Pintor, M.; Orru, G.; Maiorca, D.; Demontis, A.; Demetrio, L.; Marcialis, G. L.; Biggio, B.; Roli, F.
Explaining Machine Learning DGA Detectors from DNS Traffic Data
2022-01-01 Piras, G.; Pintor, M.; Demetrio, L.; Biggio, B.
Explaining Vulnerabilities of Deep Learning to Adversarial Malware Binaries
2019-01-01 Demetrio, Luca; Battista, Biggio; Lagorio, Giovanni; Fabio, Roli; Armando, Alessandro; Roli, Fabio
Formalizing evasion attacks against machine learning security detectors
2021-01-20 Demetrio, Luca
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.
Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples
2022-01-01 Pintor, M.; Demetrio, L.; Sotgiu, A.; Demontis, A.; Carlini, N.; Biggio, B.; Roli, F.
Nebula: Self-Attention for Dynamic Malware Analysis
2024-01-01 Trizna, Dmitrijs; Demetrio, Luca; Biggio, Battista; Roli, Fabio
Phantom Sponges: Exploiting Non-Maximum Suppression To Attack Deep Object Detectors
2023-01-01 Shapira, Avishag; Zolfi, Alon; Demetrio, Luca; Biggio, Battista; Shabtai, Asaf
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
Raze to the Ground: Query-Efficient Adversarial HTML Attacks on Machine-Learning Phishing Webpage Detectors
2023-01-01 Montaruli, Biagio; Demetrio, Luca; Pintor, Maura; Compagna, Luca; Balzarotti, Davide; Biggio, Battista
Robust Machine Learning for Malware Detection over Time
2022-01-01 Angioni, D.; Demetrio, L.; Pintor, M.; Biggio, B.
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
Slope: A First-order Approach for Measuring Gradient Obfuscation
2021-01-01 Pintor, M.; Demetrio, L.; Manca, G.; Biggio, B.; Roli, F.
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.
| 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. | |
| AI Security and Safety: The PRALab Research Experience | 1-gen-2023 | Demontis, A.; Pintor, M.; Demetrio, L.; Sotgiu, A.; Angioni, D.; Piras, G.; Gupta, S.; Biggio, B.; Roli, F. | |
| Cybersecurity and AI: The PRALab Research Experience | 1-gen-2023 | Pintor, M.; Orru, G.; Maiorca, D.; Demontis, A.; Demetrio, L.; Marcialis, G. L.; Biggio, B.; Roli, F. | |
| Explaining Machine Learning DGA Detectors from DNS Traffic Data | 1-gen-2022 | Piras, G.; Pintor, M.; Demetrio, L.; Biggio, B. | |
| Explaining Vulnerabilities of Deep Learning to Adversarial Malware Binaries | 1-gen-2019 | Demetrio, Luca; Battista, Biggio; Lagorio, Giovanni; Fabio, Roli; Armando, Alessandro; Roli, Fabio | |
| Formalizing evasion attacks against machine learning security detectors | 20-gen-2021 | Demetrio, Luca | |
| 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. | |
| Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples | 1-gen-2022 | Pintor, M.; Demetrio, L.; Sotgiu, A.; Demontis, A.; Carlini, N.; Biggio, B.; Roli, F. | |
| Nebula: Self-Attention for Dynamic Malware Analysis | 1-gen-2024 | Trizna, Dmitrijs; Demetrio, Luca; Biggio, Battista; Roli, Fabio | |
| Phantom Sponges: Exploiting Non-Maximum Suppression To Attack Deep Object Detectors | 1-gen-2023 | Shapira, Avishag; Zolfi, Alon; Demetrio, Luca; Biggio, Battista; Shabtai, Asaf | |
| 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 | |
| Raze to the Ground: Query-Efficient Adversarial HTML Attacks on Machine-Learning Phishing Webpage Detectors | 1-gen-2023 | Montaruli, Biagio; Demetrio, Luca; Pintor, Maura; Compagna, Luca; Balzarotti, Davide; Biggio, Battista | |
| Robust Machine Learning for Malware Detection over Time | 1-gen-2022 | Angioni, D.; Demetrio, L.; Pintor, M.; Biggio, B. | |
| 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 | |
| Slope: A First-order Approach for Measuring Gradient Obfuscation | 1-gen-2021 | Pintor, M.; Demetrio, L.; Manca, G.; Biggio, B.; Roli, F. | |
| 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. |