DEMETRIO, LUCA
DEMETRIO, LUCA
100023 - Dipartimento di Informatica, bioingegneria, robotica e ingegneria dei sistemi
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.
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples
2025-01-01 Cinà, Antonio Emanuele; Rony, Jérôme; Pintor, Maura; Demetrio, Luca; Demontis, Ambra; Biggio, Battista; Ayed, Ismail Ben; Roli, Fabio
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.
Demystifying the Role of Rule-Based Detection in AI Systems for Windows Malware Detection
2025-01-01 Ponte, Andrea; Demetrio, Luca; Oneto, Luca; Ogbu, Ivan Tesfai; Biggio, Battista; Roli, Fabio
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
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.
ModSec-Learn: Boosting ModSecurity with Machine Learning
2025-01-01 Scano, Christian; Floris, Giuseppe; Montaruli, Biagio; Demetrio, Luca; Valenza, Andrea; Compagna, Luca; Ariu, Davide; Piras, Luca; Balzarotti, Davide; Biggio, Battista
Phantom Sponges: Exploiting Non-Maximum Suppression To Attack Deep Object Detectors
2023-01-01 Shapira, Avishag; Zolfi, Alon; 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.
Slope: A First-order Approach for Measuring Gradient Obfuscation
2021-01-01 Pintor, M.; Demetrio, L.; Manca, G.; Biggio, B.; Roli, F.
WAF-A-MoLE: Evading web application firewalls through adversarial machine learning
2020-01-01 Demetrio, L.; Valenza, A.; Costa, G.; Lagorio, G.
ZenHackAdemy: Ethical Hacking @ DIBRIS
2019-01-01 Demetrio, Luca; Lagorio, Giovanni; Ribaudo, Marina; Russo, Enrico; Valenza, Andrea
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| 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. | |
| AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples | 1-gen-2025 | Cinà, Antonio Emanuele; Rony, Jérôme; Pintor, Maura; Demetrio, Luca; Demontis, Ambra; Biggio, Battista; Ayed, Ismail Ben; Roli, Fabio | |
| 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. | |
| Demystifying the Role of Rule-Based Detection in AI Systems for Windows Malware Detection | 1-gen-2025 | Ponte, Andrea; Demetrio, Luca; Oneto, Luca; Ogbu, Ivan Tesfai; Biggio, Battista; Roli, Fabio | |
| 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 | |
| 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. | |
| ModSec-Learn: Boosting ModSecurity with Machine Learning | 1-gen-2025 | Scano, Christian; Floris, Giuseppe; Montaruli, Biagio; Demetrio, Luca; Valenza, Andrea; Compagna, Luca; Ariu, Davide; Piras, Luca; Balzarotti, Davide; Biggio, Battista | |
| Phantom Sponges: Exploiting Non-Maximum Suppression To Attack Deep Object Detectors | 1-gen-2023 | Shapira, Avishag; Zolfi, Alon; 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. | |
| Slope: A First-order Approach for Measuring Gradient Obfuscation | 1-gen-2021 | Pintor, M.; Demetrio, L.; Manca, G.; Biggio, B.; Roli, F. | |
| WAF-A-MoLE: Evading web application firewalls through adversarial machine learning | 1-gen-2020 | Demetrio, L.; Valenza, A.; Costa, G.; Lagorio, G. | |
| ZenHackAdemy: Ethical Hacking @ DIBRIS | 1-gen-2019 | Demetrio, Luca; Lagorio, Giovanni; Ribaudo, Marina; Russo, Enrico; Valenza, Andrea |