Luca Demetrio

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 47

Top Topics

Malware Detection

Empirical Analysis

Malicious Executables

Machine Learning

Top Venues

IEEE Trans. Inf. Forensics Secur.

Publications

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 (2024)
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 (2024)
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 (2024)
Dmitrijs Trizna, Luca Demetrio, Battista Biggio, Fabio Roli
Living-off-The-Land Reverse-Shell Detection by Informed Data Augmentation. CoRR (2024)
Dmitrijs Trizna, Luca Demetrio, Battista Biggio, Fabio Roli
Nebula: Self-Attention for Dynamic Malware Analysis. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Marco Rando, Luca Demetrio, Lorenzo Rosasco, Fabio Roli
A New Formulation for Zeroth-Order Optimization of Adversarial EXEmples in Malware Detection. CoRR (2024)
Matous Kozák, Luca Demetrio, Dmitrijs Trizna, Fabio Roli
Updating Windows Malware Detectors: Balancing Robustness and Regression against Adversarial EXEmples. CoRR (2024)
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 (2024)
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 (2024)
Andrea Ponte, Dmitrijs Trizna, Luca Demetrio, Battista Biggio, Ivan Tesfai Ogbu, Fabio Roli
SLIFER: Investigating Performance and Robustness of Malware Detection Pipelines. CoRR (2024)
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)
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 (2023)
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 (2023)
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)
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 (2023)
Dmitrijs Trizna, Luca Demetrio, Battista Biggio, Fabio Roli
Nebula: Self-Attention for Dynamic Malware Analysis. CoRR (2023)
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 (2023)
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)
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 (2023)
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)
Avishag Shapira, Alon Zolfi, Luca Demetrio, Battista Biggio, Asaf Shabtai
Phantom Sponges: Exploiting Non-Maximum Suppression to Attack Deep Object Detectors. WACV (2023)
Avishag Shapira, Alon Zolfi, Luca Demetrio, Battista Biggio, Asaf Shabtai
Denial-of-Service Attack on Object Detection Model Using Universal Adversarial Perturbation. CoRR (2022)
Giorgio Piras, Maura Pintor, Luca Demetrio, Battista Biggio
Explaining Machine Learning DGA Detectors from DNS Traffic Data. CoRR (2022)
Maura Pintor, Luca Demetrio, Angelo Sotgiu, Marco Melis, Ambra Demontis, Battista Biggio
secml: Secure and explainable machine learning in Python. SoftwareX 18 (2022)
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)
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 (2022)
Daniele Angioni, Luca Demetrio, Maura Pintor, Battista Biggio
Robust Machine Learning for Malware Detection over Time. ITASEC (2022)
Luca Demetrio, Battista Biggio, Fabio Roli
Practical Attacks on Machine Learning: A Case Study on Adversarial Windows Malware. CoRR (2022)
Luca Demetrio, Battista Biggio, Fabio Roli
Practical Attacks on Machine Learning: A Case Study on Adversarial Windows Malware. IEEE Secur. Priv. 20 (5) (2022)
Daniele Angioni, Luca Demetrio, Maura Pintor, Battista Biggio
Robust Machine Learning for Malware Detection over Time. CoRR (2022)
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 (2022)
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 (2022)
Moshe Kravchik, Luca Demetrio, Battista Biggio, Asaf Shabtai
Practical Evaluation of Poisoning Attacks on Online Anomaly Detectors in Industrial Control Systems. Comput. Secur. 122 (2022)
Giorgio Piras, Maura Pintor, Luca Demetrio, Battista Biggio
Explaining Machine Learning DGA Detectors from DNS Traffic Data. ITASEC (2022)
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 (2021)
Maura Pintor, Luca Demetrio, Giovanni Manca, Battista Biggio, Fabio Roli
Slope: A First-order Approach for Measuring Gradient Obfuscation. ESANN (2021)
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 (2021)
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) (2021)
Luca Demetrio, Battista Biggio
secml-malware: A Python Library for Adversarial Robustness Evaluation of Windows Malware Classifiers. CoRR (2021)
Luca Demetrio, Battista Biggio, Giovanni Lagorio, Fabio Roli, Alessandro Armando
Efficient Black-box Optimization of Adversarial Windows Malware with Constrained Manipulations. CoRR (2020)
Andrea Valenza, Luca Demetrio, Gabriele Costa, Giovanni Lagorio
WAF-A-MoLE: An adversarial tool for assessing ML-based WAFs. SoftwareX 11 (2020)
Luca Demetrio, Andrea Valenza, Gabriele Costa, Giovanni Lagorio
WAF-A-MoLE: Evading Web Application Firewalls through Adversarial Machine Learning. CoRR (2020)
Luca Demetrio, Andrea Valenza, Gabriele Costa, Giovanni Lagorio
WAF-A-MoLE: evading web application firewalls through adversarial machine learning. SAC (2020)
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 (2020)
Luca Demetrio, Battista Biggio, Giovanni Lagorio, Fabio Roli, Alessandro Armando
Explaining Vulnerabilities of Deep Learning to Adversarial Malware Binaries. CoRR (2019)
Luca Demetrio, Giovanni Lagorio, Marina Ribaudo, Enrico Russo, Andrea Valenza
ZenHackAdemy: Ethical Hacking @ DIBRIS. CSEDU (1) (2019)
Luca Demetrio, Battista Biggio, Giovanni Lagorio, Fabio Roli, Alessandro Armando
Explaining Vulnerabilities of Deep Learning to Adversarial Malware Binaries. ITASEC (2019)