Sfoglia per Autore
ZenHackAdemy: Ethical Hacking @ DIBRIS
2019-01-01 Demetrio, Luca; Lagorio, Giovanni; Ribaudo, Marina; Russo, Enrico; Valenza, Andrea
Explaining Vulnerabilities of Deep Learning to Adversarial Malware Binaries
2019-01-01 Demetrio, Luca; Battista, Biggio; Lagorio, Giovanni; Fabio, Roli; Armando, Alessandro; Roli, Fabio
WAF-A-MoLE: An adversarial tool for assessing ML-based WAFs
2020-01-01 Valenza, Andrea; Demetrio, Luca; Costa, Gabriele; Lagorio, Giovanni
WAF-A-MoLE: Evading web application firewalls through adversarial machine learning
2020-01-01 Demetrio, L.; Valenza, A.; Costa, G.; Lagorio, G.
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
Formalizing evasion attacks against machine learning security detectors
2021-01-20 Demetrio, Luca
Practical Attacks on Machine Learning: A Case Study on Adversarial Windows Malware
2022-01-01 Demetrio, Luca; Biggio, Battista; 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.
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.
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.
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.
Phantom Sponges: Exploiting Non-Maximum Suppression To Attack Deep Object Detectors
2023-01-01 Shapira, Avishag; Zolfi, Alon; Demetrio, Luca; Biggio, Battista; Shabtai, Asaf
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.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| ZenHackAdemy: Ethical Hacking @ DIBRIS | 1-gen-2019 | Demetrio, Luca; Lagorio, Giovanni; Ribaudo, Marina; Russo, Enrico; Valenza, Andrea | |
| Explaining Vulnerabilities of Deep Learning to Adversarial Malware Binaries | 1-gen-2019 | Demetrio, Luca; Battista, Biggio; Lagorio, Giovanni; Fabio, Roli; Armando, Alessandro; Roli, Fabio | |
| WAF-A-MoLE: An adversarial tool for assessing ML-based WAFs | 1-gen-2020 | Valenza, Andrea; Demetrio, Luca; Costa, Gabriele; Lagorio, Giovanni | |
| WAF-A-MoLE: Evading web application firewalls through adversarial machine learning | 1-gen-2020 | Demetrio, L.; Valenza, A.; Costa, G.; Lagorio, G. | |
| 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 | |
| Formalizing evasion attacks against machine learning security detectors | 20-gen-2021 | Demetrio, Luca | |
| Practical Attacks on Machine Learning: A Case Study on Adversarial Windows Malware | 1-gen-2022 | Demetrio, Luca; Biggio, Battista; 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. | |
| 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. | |
| 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. | |
| 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. | |
| Phantom Sponges: Exploiting Non-Maximum Suppression To Attack Deep Object Detectors | 1-gen-2023 | Shapira, Avishag; Zolfi, Alon; Demetrio, Luca; Biggio, Battista; Shabtai, Asaf | |
| 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. |
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