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ORCIDLuca Demetrio
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- affiliation: University of Genova, Italy
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Books and Theses
- 2021
[b1]Luca Demetrio:
Formalizing evasion attacks against machine learning security detectors. University of Genoa, Italy, 2021
Journal Articles
- 2024
- [j10]Dmitrijs Trizna
, Luca Demetrio, Battista Biggio, Fabio Roli:
Nebula: Self-Attention for Dynamic Malware Analysis. IEEE Trans. Inf. Forensics Secur. 19: 6155-6167 (2024) - 2023
- [j9]Yang Zheng, Luca Demetrio, Antonio Emanuele Cinà, Xiaoyi Feng, Zhaoqiang Xia, Xiaoyue Jiang, Ambra Demontis, Battista Biggio, Fabio Roli:
Hardening RGB-D object recognition systems against adversarial patch attacks. Inf. Sci. 651: 119701 (2023) - [j8]Maura Pintor, Daniele Angioni, Angelo Sotgiu, Luca Demetrio, Ambra Demontis, Battista Biggio, Fabio Roli:
ImageNet-Patch: A dataset for benchmarking machine learning robustness against adversarial patches. Pattern Recognit. 134: 109064 (2023) - 2022
- [j7]Moshe Kravchik, Luca Demetrio, Battista Biggio, Asaf Shabtai:
Practical Evaluation of Poisoning Attacks on Online Anomaly Detectors in Industrial Control Systems. Comput. Secur. 122: 102901 (2022) - [j6]Luca Demetrio, Battista Biggio, Fabio Roli:
Practical Attacks on Machine Learning: A Case Study on Adversarial Windows Malware. IEEE Secur. Priv. 20(5): 77-85 (2022) - [j5]Luca Oneto, Nicolò Navarin, Battista Biggio, Federico Errica, Alessio Micheli, Franco Scarselli, Monica Bianchini, Luca Demetrio, Pietro Bongini, Armando Tacchella, Alessandro Sperduti:
Towards learning trustworthily, automatically, and with guarantees on graphs: An overview. Neurocomputing 493: 217-243 (2022) - [j4]Maura Pintor, Luca Demetrio, Angelo Sotgiu, Marco Melis, Ambra Demontis, Battista Biggio:
secml: Secure and explainable machine learning in Python. SoftwareX 18: 101095 (2022) - 2021
- [j3]Luca Demetrio, Battista Biggio, Giovanni Lagorio, Fabio Roli, Alessandro Armando:
Functionality-Preserving Black-Box Optimization of Adversarial Windows Malware. IEEE Trans. Inf. Forensics Secur. 16: 3469-3478 (2021) - [j2]Luca Demetrio, Scott E. Coull, Battista Biggio, Giovanni Lagorio, Alessandro Armando, Fabio Roli:
Adversarial EXEmples: A Survey and Experimental Evaluation of Practical Attacks on Machine Learning for Windows Malware Detection. ACM Trans. Priv. Secur. 24(4): 27:1-27:31 (2021) - 2020
- [j1]Andrea Valenza, Luca Demetrio, Gabriele Costa, Giovanni Lagorio:
WAF-A-MoLE: An adversarial tool for assessing ML-based WAFs. SoftwareX 11: 100367 (2020)
Conference and Workshop Papers
- 2023
- [c12]Biagio Montaruli, Luca Demetrio, Maura Pintor, Luca Compagna, Davide Balzarotti, Battista Biggio:
Raze to the Ground: Query-Efficient Adversarial HTML Attacks on Machine-Learning Phishing Webpage Detectors. AISec@CCS 2023: 233-244 - [c11]Maura Pintor, Luca Demetrio, Angelo Sotgiu, Hsiao-Ying Lin, Chengfang Fang, Ambra Demontis, Battista Biggio:
Detecting Attacks Against Deep Reinforcement Learning for Autonomous Driving. ICMLC 2023: 57-62 - [c10]Ambra Demontis, Maura Pintor, Luca Demetrio, Angelo Sotgiu, Daniele Angioni, Giorgio Piras, Srishti Gupta, Battista Biggio, Fabio Roli:
AI Security and Safety: The PRALab Research Experience. Ital-IA 2023: 324-328 - [c9]Maura Pintor, Giulia Orrù, Davide Maiorca, Ambra Demontis, Luca Demetrio, Gian Luca Marcialis, Battista Biggio, Fabio Roli:
Cybersecurity and AI: The PRALab Research Experience. Ital-IA 2023: 426-431 - [c8]Avishag Shapira, Alon Zolfi, Luca Demetrio, Battista Biggio, Asaf Shabtai:
Phantom Sponges: Exploiting Non-Maximum Suppression to Attack Deep Object Detectors. WACV 2023: 4560-4569 - 2022
- [c7]Giorgio Piras, Maura Pintor, Luca Demetrio, Battista Biggio:
Explaining Machine Learning DGA Detectors from DNS Traffic Data. ITASEC 2022: 150-168 - [c6]Daniele Angioni, Luca Demetrio, Maura Pintor, Battista Biggio:
Robust Machine Learning for Malware Detection over Time. ITASEC 2022: 169-180 - [c5]Maura Pintor, Luca Demetrio, Angelo Sotgiu, Ambra Demontis, Nicholas Carlini, Battista Biggio, Fabio Roli:
Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples. NeurIPS 2022 - 2021
- [c4]Maura Pintor, Luca Demetrio, Giovanni Manca, Battista Biggio, Fabio Roli:
Slope: A First-order Approach for Measuring Gradient Obfuscation. ESANN 2021 - 2020
- [c3]Luca Demetrio, Andrea Valenza, Gabriele Costa, Giovanni Lagorio:
WAF-A-MoLE: evading web application firewalls through adversarial machine learning. SAC 2020: 1745-1752 - 2019
- [c2]Luca Demetrio, Giovanni Lagorio, Marina Ribaudo, Enrico Russo, Andrea Valenza:
ZenHackAdemy: Ethical Hacking @ DIBRIS. CSEDU (1) 2019: 405-413 - [c1]Luca Demetrio, Battista Biggio, Giovanni Lagorio, Fabio Roli, Alessandro Armando:
Explaining Vulnerabilities of Deep Learning to Adversarial Malware Binaries. ITASEC 2019
Informal and Other Publications
- 2024
- [i25]Daniele Angioni, Luca Demetrio, Maura Pintor, Luca Oneto, Davide Anguita, Battista Biggio, Fabio Roli:
Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates. CoRR abs/2402.17390 (2024) - [i24]Dmitrijs Trizna, Luca Demetrio, Battista Biggio, Fabio Roli:
Living-off-The-Land Reverse-Shell Detection by Informed Data Augmentation. CoRR abs/2402.18329 (2024) - [i23]Antonio Emanuele Cinà, Jérôme Rony, Maura Pintor, Luca Demetrio, Ambra Demontis, Battista Biggio, Ismail Ben Ayed, Fabio Roli:
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples. CoRR abs/2404.19460 (2024) - [i22]Daniel Gibert, Luca Demetrio, Giulio Zizzo, Quan Le, Jordi Planes, Battista Biggio:
Certified Adversarial Robustness of Machine Learning-based Malware Detectors via (De)Randomized Smoothing. CoRR abs/2405.00392 (2024) - [i21]Matous Kozák, Luca Demetrio, Dmitrijs Trizna, Fabio Roli:
Updating Windows Malware Detectors: Balancing Robustness and Regression against Adversarial EXEmples. CoRR abs/2405.02646 (2024) - [i20]Andrea Ponte, Dmitrijs Trizna, Luca Demetrio, Battista Biggio, Ivan Tesfai Ogbu, Fabio Roli:
SLIFER: Investigating Performance and Robustness of Malware Detection Pipelines. CoRR abs/2405.14478 (2024) - [i19]Marco Rando, Luca Demetrio, Lorenzo Rosasco, Fabio Roli:
A New Formulation for Zeroth-Order Optimization of Adversarial EXEmples in Malware Detection. CoRR abs/2405.14519 (2024) - [i18]Zhang Chen, Luca Demetrio, Srishti Gupta, Xiaoyi Feng, Zhaoqiang Xia, Antonio Emanuele Cinà, Maura Pintor, Luca Oneto, Ambra Demontis, Battista Biggio, Fabio Roli:
Over-parameterization and Adversarial Robustness in Neural Networks: An Overview and Empirical Analysis. CoRR abs/2406.10090 (2024) - [i17]Christian Scano, Giuseppe Floris, Biagio Montaruli, Luca Demetrio, Andrea Valenza, Luca Compagna, Davide Ariu, Luca Piras, Davide Balzarotti, Battista Biggio:
ModSec-Learn: Boosting ModSecurity with Machine Learning. CoRR abs/2406.13547 (2024) - 2023
- [i16]Biagio Montaruli, Luca Demetrio, Andrea Valenza, Luca Compagna, Davide Ariu, Luca Piras, Davide Balzarotti, Battista Biggio:
Adversarial ModSecurity: Countering Adversarial SQL Injections with Robust Machine Learning. CoRR abs/2308.04964 (2023) - [i15]Yang Zheng, Luca Demetrio, Antonio Emanuele Cinà, Xiaoyi Feng, Zhaoqiang Xia, Xiaoyue Jiang, Ambra Demontis, Battista Biggio, Fabio Roli:
Hardening RGB-D Object Recognition Systems against Adversarial Patch Attacks. CoRR abs/2309.07106 (2023) - [i14]Biagio Montaruli, Luca Demetrio, Maura Pintor, Luca Compagna, Davide Balzarotti, Battista Biggio:
Raze to the Ground: Query-Efficient Adversarial HTML Attacks on Machine-Learning Phishing Webpage Detectors. CoRR abs/2310.03166 (2023) - [i13]Dmitrijs Trizna, Luca Demetrio, Battista Biggio, Fabio Roli:
Nebula: Self-Attention for Dynamic Malware Analysis. CoRR abs/2310.10664 (2023) - 2022
- [i12]Maura Pintor, Daniele Angioni, Angelo Sotgiu, Luca Demetrio, Ambra Demontis, Battista Biggio, Fabio Roli:
ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches. CoRR abs/2203.04412 (2022) - [i11]Avishag Shapira, Alon Zolfi, Luca Demetrio, Battista Biggio, Asaf Shabtai:
Denial-of-Service Attack on Object Detection Model Using Universal Adversarial Perturbation. CoRR abs/2205.13618 (2022) - [i10]Luca Demetrio, Battista Biggio, Fabio Roli:
Practical Attacks on Machine Learning: A Case Study on Adversarial Windows Malware. CoRR abs/2207.05548 (2022) - [i9]Daniele Angioni, Luca Demetrio, Maura Pintor, Battista Biggio:
Robust Machine Learning for Malware Detection over Time. CoRR abs/2208.04838 (2022) - [i8]Giorgio Piras, Maura Pintor, Luca Demetrio, Battista Biggio:
Explaining Machine Learning DGA Detectors from DNS Traffic Data. CoRR abs/2208.05285 (2022) - [i7]Ambra Demontis, Maura Pintor, Luca Demetrio, Kathrin Grosse, Hsiao-Ying Lin, Chengfang Fang, Battista Biggio, Fabio Roli:
A Survey on Reinforcement Learning Security with Application to Autonomous Driving. CoRR abs/2212.06123 (2022) - 2021
- [i6]Luca Demetrio, Battista Biggio:
secml-malware: A Python Library for Adversarial Robustness Evaluation of Windows Malware Classifiers. CoRR abs/2104.12848 (2021) - [i5]Maura Pintor, Luca Demetrio, Angelo Sotgiu, Giovanni Manca, Ambra Demontis, Nicholas Carlini, Battista Biggio, Fabio Roli:
Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples. CoRR abs/2106.09947 (2021) - 2020
- [i4]Luca Demetrio, Andrea Valenza, Gabriele Costa, Giovanni Lagorio:
WAF-A-MoLE: Evading Web Application Firewalls through Adversarial Machine Learning. CoRR abs/2001.01952 (2020) - [i3]Luca Demetrio, Battista Biggio, Giovanni Lagorio, Fabio Roli, Alessandro Armando:
Efficient Black-box Optimization of Adversarial Windows Malware with Constrained Manipulations. CoRR abs/2003.13526 (2020) - [i2]Luca Demetrio, Scott E. Coull, Battista Biggio, Giovanni Lagorio, Alessandro Armando, Fabio Roli:
Adversarial EXEmples: A Survey and Experimental Evaluation of Practical Attacks on Machine Learning for Windows Malware Detection. CoRR abs/2008.07125 (2020) - 2019
- [i1]Luca Demetrio, Battista Biggio, Giovanni Lagorio, Fabio Roli, Alessandro Armando:
Explaining Vulnerabilities of Deep Learning to Adversarial Malware Binaries. CoRR abs/1901.03583 (2019)
Coauthor Index
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